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AI Scientist

Howard Hughes Medical Institute (HHMI) Ashburn, VA

Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Please note: We are hiring multiple AI Scientists and are open to various levels of experience. Intro: AI@HHMI: HHMI is investing $500 million over the next 10 years to support AI-driven projects and to embed AI systems throughout every stage of the scientific process in labs across HHMI. The AI initiative will be centered at HHMI’s Janelia Research Campus. Janelia has been at the forefront of AI-driven research in biology for more than 15 years. Its forward-thinking structure, centralized funding, and collaborative culture make it ideally suited to take this bold leap forward. To learn more about the initiative, visit here. About the Role: The Artificial Intelligence (AI) Scientist is an outstanding independent scientist who develops, implements, and executes innovative AI-based research projects in the pursuit of biological discoveries or the generation of new research tools. AI Scientists create, lead, or participate in research projects of highly variable scale, ranging from individual work to HHMI-wide strategic initiatives. The AI Scientist will work closely with scientists from across the broader HHMI community. They participate in, build, or supervise highly collaborative research teams consisting of other scientists, engineers, and technicians. What We Provide: A competitive compensation package with comprehensive health and welfare benefits. In addition to the base salary described below, this position may also be eligible for incentive pay. Generous training and travel opportunities to workshops and conferences. Access to state-of-the-art computational infrastructure and extended capabilities provided through assistance from Janelia’s Support teams and Project teams. A healthy work-life balance, with on-site childcare, free gyms, on-campus housing, vibrant social and dining spaces, and shuttle-bus service to Janelia from Washington, DC metro area! Flexible work arrangements are available. Relocation assistance provided for non-local candidates who wish to transition to the Washington, DC, metro area. What You'll Do: Plan, initiate, and rigorously execute independent or collaborative AI-based research; may oversee personnel and budgets toward this goal. Perform scientific duties on new and varied problems where only general objectives are stated. Explore and develop new methods, skills, and tools. Make research outputs available through peer-reviewed scientific publications, high-quality datasets, code, and applications. Collaborate with other scientists, engineers, and technicians across project teams. Initiate and be flexible to transfer between projects and groups as appropriate and participate in reviewing other projects and scientists and providing constructive feedback and guidance. Perform advanced development work to obtain and maintain technical leadership in the field of AI. Assist HHMI and Janelia leadership in planning and execution of program-wide initiatives; ensure coordination with related efforts or other projects and research areas. Adhere to the highest academic, scientific, and ethical standards in all professional activities, including the responsible use of AI technologies. What You Bring: Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Physics, or related fields or equivalent combination of education and relevant experience. 5+ years of experience in an academic, industry, or government research position is required. Demonstrated innovative research in the field of AI, evidenced by peer-reviewed publication in the proceedings of relevant conferences or journals, the contribution of code to high-quality open-source code repositories, and/or creation of high-quality applications. Experience applying AI methods to interdisciplinary research, particularly in the biological sciences or related domains, is preferred. Expertise in the field of machine learning with a full understanding of the underlying principles and concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, and probabilistic modeling. Recognized by others within and outside their institution as a leader in their area of expertise. Proficiency in AI/ML frameworks and tools such as PyTorch, JAX or similar. Strong programming and design skills in Python, Julia, C++, or Rust, with experience in developing and optimizing large-scale computational models. Experience with big data technologies and high-performance computing environments. Familiarity with data science techniques, including data preprocessing, statistical analysis, and visualization. Results oriented with excellent communication skills. Please include a cover letter with your application. Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis. Please Note: This job description sets forth the job’s principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word “may,” the Essential Duties and Responsibilities described above are “essential functions” of the job, as defined by the Americans with Disabilities Act. Pay: In addition to the base salary described below, this position may also be eligible for incentive pay. AI Scientist I: 5+ years’ experience - $182,160.80 (minimum)- $227,701.00 (midpoint) - $296,011.30 (maximum) AI Scientist II: 10+ years’ experience - $213,564.00 (minimum) - $266,955.00 (midpoint) - $347,041.40 (maximum) AI Scientist III: 15+ years’ experience including program/project management experience - $245,145.60 (minimum) - $306,432.00 (midpoint) - $450,000.00 (maximum) Pay Type: Annual HHMI’s salary structure is developed based on relevant market data. HHMI considers a candidate’s education, previous experience, knowledge, skills and abilities, as well as internal equity when making job offers. Typically, a new hire for this position in this location is compensated between the minimum and midpoint. Your recruiter can share more about the specific pay range during the recruitment process. #LI-BG1 Compensation and Benefits Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more. HHMI is an Equal Opportunity Employer Howard Hughes Medical Institute (HHMI) is an independent, ever-evolving philanthropy that supports basic biomedical scientists and educators with the potential for transformative impact. We make long-term investments in people, not just projects, because we believe in the power of individuals to make breakthroughs over time. Why HHMI To move science forward we need a diverse collection of talents, expertise, and backgrounds in scientific research and science education, as well as communications, finance, human resources, information technology, investments, law, and operations. At HHMI, we encourage collaborative and results-driven working styles and offer an adaptable environment where employees can do their best work. What makes us strong is the diversity of our perspectives. We work to promote a culture of inclusion in our work environments and across the greater scientific community. To find more information about us and the steps we're taking to make HHMI a more inclusive organization, visit our About Us page. #J-18808-Ljbffr

Work Life Balance

Data Scientist

System One Ashburn, VA

Data Scientist Location: Hybrid reporting to Vienna, VA, Winchester, VA or Pensacola, FL Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract Responsibilities: • Build and enhance Non-SQL/SQL based data analytics processes through all phases of development, implementation, and upkeep. • Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. • Create and maintain reporting dashboards to deliver data insights to a wide range of consumers. • Partner with a cross-functional team of data engineers, machine learning engineers, and data visualizers to deliver projects. • Develop data science solutions utilizing both on-premises and Microsoft Azure Cloud Computing Infrastructures. • Perform other duties as assigned. Qualifications: • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent work experience). • Experience with cloud computing infrastructure. • Minimum of 5 years of experience in Data Analysis, SQL/Python Programming, and Plotly Enterprise or Power BI development. • Strong understanding of database design, data mining, and data modeling concepts. • Experience with ETL processes and data integration techniques. • Proven ability to develop effective data visualizations using Power BI and/or Plotly Enterprise. • Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management. Desired: • Advanced degree in in computer science, mathematics, physics, statistics, or related field. • Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages/frameworks appropriate for large data analysis. • Experience with supervised/unsupervised machine learning model development in areas of clustering, classification and/or regression. • Experience with API end point connection and configuration for complex data pipelines. • Experience establishing data governance principals as part of the data ingestion process. • Experience working with Agile principals utilizing Azure DevOps or similar systems. • Experience working with Cybersecurity Frameworks and related data. Ref: #850-Rockville (ALTA IT)#J-18808-Ljbffr

Immediate Start

Data Scientist

Avature Ashburn, VA

Transform the future of federal services with ManTech! Join a vibrant, energetic team committed to enhancing national security and public services through innovative tech. Since 1968, we’ve partnered with Federal Civilian sectors to deliver impactful solutions. Engage in exciting projects in Digital Transformation, Cybersecurity, IT, Data Analytics and more. Ignite your career and drive change. Your journey starts now—innovate and excel with ManTech! ManTech seeks a motivated, career and customer oriented Senior Data Scientist SME to join our team in Ashburn, Virginia. This position is onsite two days a week. Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel. Responsibilities include but are not limited to: Lead and perform hands-on data and threat/intel analysis leading to development of analytics solutions (e.g. predictive models, visual analytics reports), to support CBP users conduct law enforcement mission critical activities. Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and associated data sets within an identified problem space to build predictive models as well as develop appropriate supporting documentation. Leverage knowledge of a variety of statistical and machine learning techniques to develop, evaluate, and deploy new predictive analytical models that directly inform mission decisions. Utilize and explore variety of statistical/modeling tools and languages to compare and assess best performing Machine Learning results. Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. Minimum Qualifications: HS Diploma/GED and 20+ years or AS/AA and 18+ years or BS/BA and 12+ years or MS/MA/MBA and 9+ years or PhD/Doctorate and 7+ years Experience in full-lifecycle development, deployment and monitoring of machine learning models to multiple platforms (on-prem/cloud etc.) and applying advanced analytics solutions to solve complex business problems Experience with programming languages including R, Python, Scala, Java, SQL/Spark Experience constructing and executing queries to extract data in support of EDA and model development Experience with evaluating, implementing and optimizing AI/ML algorithms to address constraints with large and imbalanced datasets. Experience with entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation) Experience with unsupervised and supervised machine learning techniques and methods Experience/Proficiency in conducting development and integration activities to deploy, assess and update AI/ML models into applications for end-user use and evaluation. Preferred Qualifications: Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Proficiency with Auto ML tools and platforms, such as AWS Sagemaker, DataRobot or DataBricks Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Master’s Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience Clearance Requirements: Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability. Must be eligible to obtain and maintain a Top Secret Physical Requirements: Must be able to be in a stationary position more than 50% of the time. Must be able to communicate, converse, and exchange information with peers and senior personnel. Constantly operates a computer and other office productivity machinery, such as a computer. ManTech International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with ManTech, please email us at [email protected] and provide your name and contact information. #J-18808-Ljbffr

Data Scientist

Verizon Communications Ashburn, VA

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work, and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life. What you’ll be doing... You will drive profitable growth and business innovation by applying cutting-edge machine learning techniques and AI technology. You work on data science projects that drive product personalization, marketing effectiveness, channel optimization, better customer experience, and operation efficiency. You will work closely with a team of talented data scientists, Big Data engineers, and software developers and play a key role in developing and delivering the next generation AI/ML solutions to the business. You’ll create machine learning models to predict customer behavior and intent to support marketing campaigns for customer retention, prospect acquisition, and revenue growth. You’ll then present the results to various business partners such as marketing, finance, and our customer relationship management group. Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes Be involved in the design and development of machine learning/statistical models and ensure best performance Work closely with machine learning engineers to deploy models in production both in real-time and in batch process and systematically track model performance Assist engagement with key business stakeholders in discussion on business strategies and opportunities Build strong working relationships and develop deep partnerships with the business Become a subject matter expert on machine learning and predictive modeling Actively research new theories, techniques, and technologies What we’re looking for... You have strong analytical skills and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end-to-end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross-functional teams to implement data science-driven business solutions. You'll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Foundational quantitative knowledge and skills; extensive training in math, statistics, physical science, engineering, or other related fields Hands-on computing/programming skills; proficient in Python Even better if you have one or more of the following: Master’s degree in a quantitative field or equivalent A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field Experience in data science projects and delivering from end-to-end Technical experience in machine learning and statistical modeling Experience with in data management and data analysis in relational databases and Hadoop Experience with in SQL and database management Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more. #J-18808-Ljbffr

Data Scientist

AECOM Ashburn, VA

ManTech seeks a motivated, career and customer-oriented **SME Data Scientist** to join our team in Ashburn, VA. This is a hybrid position with 2 days on-site and 3 days remote weekly. **Responsibilities include but are not limited to:** + Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation). + Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies. + Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation. + Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions. + Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. + Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/project lifecycle through written as well as in-person reporting. **Minimum Qualifications:** + Undergraduate degree in mathematics, statistics, computer science/engineering, or other related technical fields and 12 plus years equivalent practical experience. + Experience with: + Developing machine learning models and applying advanced analytics solutions to solve complex business problems. + Programming languages including R, Python, Scala, Java, and proficiency with SQL programming. + Constructing and executing queries to extract data in support of EDA and model development. + Pattern recognition and extraction, automated classification, and categorization. + Entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation). + Unsupervised and supervised machine learning techniques and methods. + Performing data mining, analysis, and training set construction. + Proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent. + Proficiency with supervised machine learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc. + Proficiency with unsupervised machine learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. **Preferred Qualifications:** + Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI). + Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop). + Master’s degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience. **Security Clearance Requirements:** + Must be a U.S. Citizen and be able to obtain and maintain a CBP suitability prior to starting this position. + Must have a current/active Top Secret clearance. **Physical Requirements:** + Must be able to be in a stationary position more than 50% of the time + Constantly operates a computer and other office productivity machinery, such as a computer + The person in this position frequently communicates with co-workers, management and clients, which may involve delivering presentations ad must be able to exchange accurate information in these situations ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. If you are a qualified individual with a disability and require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please email us at [email protected] and provide your name and contact information. #J-18808-Ljbffr

Data Scientist

ManTech Ashburn, VA

ManTech seeks motivated, career- and customer-oriented Subject Matter Expert Data Scientist to join our team in Ashburn, VA. Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel. Responsibilities include but are not limited to: Lead and perform hands-on data and threat/intel analysis leading to development of analytics solutions (e.g. predictive models, visual analytics reports), to support CBP users conduct law enforcement mission critical activities. Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations to project schedules and outcomes. Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and associated data sets within an identified problem space to build predictive models as well as develop appropriate supporting documentation. Leverage knowledge of a variety of statistical and machine learning techniques to develop, evaluate, and deploy new predictive analytical models that directly inform mission decisions. Utilize and explore variety of statistical/modeling tools and languages to compare and assess best performing Machine Learning results. Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/project lifecycle through written as well as in-person reporting. Minimum Qualifications HS Diploma/GED and 20+ years, AS/AA and 18+ years, BS/BA and 12+ years, MS/MA/MBA and 9+ years, PhD/Doctorate and 7+ years Advanced Knowledge in Machine Learning - Expertise in supervised, unsupervised, and reinforcement learning techniques, with hands on experience building and optimizing machine learning models. Generative AI Proficiency - Deep understanding of generative AI models (e.g. GANs, transformers) and experience developing or fine-tuning large language models (LLMs) like GPT or similar architectures. AI Model Deployment - Proven ability to operationalize AI/ML models at scale using frameworks such as TensorFlow, PyTorch and deploy them on cloud platforms like AWS SageMaker or Google Vertex AI. Programming and Algorithm Development - Strong programming skills in Python, R, Java, SQL, or Apache Spark with a focus on designing efficient algorithms for AI/ML applications. Skilled in data extraction, exploratory data analysis (EDA) and query construction for model development. Natural Language Processing (NLP) - Expertise in NLP techniques such as sentiment analysis, text summarization, entity recognition, and conversational AI using advanced transformer-based models (e.g. BERT, GPT). AI Ethics and Responsible AI - Familiarity with ethical considerations in AI development, including bias mitigation, transparency, fairness, and compliance with industry standards. Preferred Qualifications: Experience/Proficiency in conducting development and integration activities to deploy, assess and update Machine Learning models into applications for end-user use and evaluation. Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc. Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop). Master’s Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience. Clearance Requirements: Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability prior to starting this position. Must be able to obtain and maintain a TS clearance. Physical Requirements: Must be able to remain in a stationary position approximately 50% of the time. #J-18808-Ljbffr

Posted 18 hours ago

Senior Data Scientist

Verizon Communications Ashburn, VA

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life. What you'll be doing… You will drive profitable growth and business innovation by applying cutting-edge machine learning techniques and AI technology. You work on data science projects that drive product personalization, marketing effectiveness, channel optimization, better customer experience, and operation efficiency. You will work closely with a team of talented data scientists, Big Data engineers, and software developers and play a key role in developing and delivering the next generation AI/ML solutions to the business. You’ll create machine learning models to predict customer behavior and intent to support marketing campaigns for customer retention, prospect acquisition, and revenue growth. You’ll then present the results to various business partners such as marketing, finance, and our customer relationship management group. At Verizon, we are on a multi-year journey to industrialize our data science and AI capabilities. Very simply, this means that AI will fuel all decisions and business processes across the company. At $130B+ in annual revenue, this is a pioneering opportunity to design and shape AI at scale in the Telco industry. With our leadership in bringing 5G network nationwide, the opportunity for AI will only grow exponentially in going from enabling billions of predictions to possibly trillions of predictions that are automated and real-time. Therefore, it will be critical that this candidate possess previous experience in research and validation of AI and data science techniques. Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes Be involved in the design and development of machine learning/statistical models and ensure best performance Work closely with machine learning engineers to deploy models in production both in real-time and in batch process and systematically track model performance Assist engagement with key business stakeholders in discussion on business strategies and opportunities Build strong working relationships and develop deep partnerships with the business Become a subject matter expert on machine learning and predictive modeling Actively research new theories, techniques, and technologies What we're looking for… You have strong analytical skills and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end-to-end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross-functional teams to implement data science-driven business solutions. You'll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant experience required, demonstrated through work experience and/or military experience. Foundational quantitative knowledge and skills; extensive training in math, statistics, physical science, engineering, or other related fields Hands-on computing/programming skills; proficient in Python Experience in data science projects and delivering from end-to-end Technical experience in machine learning and statistical modeling Even better if you have one or more of the following: Master’s degree in a quantitative field or equivalent A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field Experience with in data management and data analysis in relational databases and Hadoop Experience with in SQL and database management Excellent communication skills Excellent cross-functional collaboration skills Outstanding analytical and problem-solving skills If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. #J-18808-Ljbffr

High salary

Senior Data Scientist

ManTech Ashburn, VA

Join to apply for the Senior Data Scientist role at ManTech 6 days ago Be among the first 25 applicants Join to apply for the Senior Data Scientist role at ManTech ManTech seeks a motivated, career and customer oriented Senior Data Scientist to join our team in Ashburn, Virginia . This position is onsite two days a week. Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel. Responsibilities Include But Are Not Limited To Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation). Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies. Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation. Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions. Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting. Minimum Qualifications HS Diploma/GED and 15-20 years or AA/AS and 13-18 years or BS/BA and 7-12 years or MS/MA/MBA and 5-9 years or PHD/Doctorate and 3-7 years. Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems Experience with programming languages including: SQL, R, Python, Scala, Java. Experience constructing and executing queries to extract data in support of EDA and model development Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent Experience with pattern recognition and extraction, automated classification, and categorization Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) Preferred Qualifications Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc. Experience with pattern recognition and extraction, automated classification, and categorization Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI) Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Master’s Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience Clearance Requirements Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability prior to starting this position Physical Requirements Must be able to be in a stationary position more than 50% of the time. Must be able to communicate, converse, and exchange information with peers and senior personnel. Constantly operates a computer and other office productivity machinery, such as a computer. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at ManTech by 2x Sign in to set job alerts for “Senior Data Scientist” roles. 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Senior Data Scientist

AECOM Ashburn, VA

**ManTech** seeks a motivated, career and customer oriented **Senior Data Scientist** to join our team in **Ashburn, Virginia** . This position is onsite two days a week. Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel. **Responsibilities include but are not limited to:** + Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation). + Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies. + Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation. + Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions. + Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. + Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting. **Minimum Qualifications** + HS Diploma/GED and 15-20 years or AA/AS and 13-18 years or BS/BA and 7-12 years or MS/MA/MBA and 5-9 years or PHD/Doctorate and 3-7 years. + Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems + Experience with programming languages including: SQL, R, Python, Scala, Java. + Experience constructing and executing queries to extract data in support of EDA and model development + Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent + Experience with pattern recognition and extraction, automated classification, and categorization + Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) **Preferred Qualifications:** + Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. + Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc. + Experience with pattern recognition and extraction, automated classification, and categorization + Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) + Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI) + Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) + Master’s Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience **Clearance Requirements:** + Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability prior to starting this position **Physical Requirements:** + Must be able to be in a stationary position more than 50% of the time. + Must be able to communicate, converse, and exchange information with peers and senior personnel. + Constantly operates a computer and other office productivity machinery, such as a computer. ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. If you are a qualified individual with a disability and require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please email us at [email protected] and provide your name and contact information. #J-18808-Ljbffr

Postdoctoral Scientist - Janelia Research Campus

Howard Hughes Medical Institute (HHMI) Ashburn, VA

Postdoctoral Scientist - Janelia Research Campus Apply locations: Janelia Research Campus Time type: Full time Posted on: Posted Yesterday Job requisition id: R-262 Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 We are always open to finding collaborative and highly motivated Postdoctoral Scientist candidates for potential opportunities within one of our labs at the Janelia Research Campus. Applications for this role are accepted on a rolling basis. You will be contacted by a member of our Recruitment team if your skills and experience appear to be a match for an open role. Summary: Performs a variety of research and/or laboratory tasks and experiments under general supervision. Analyzes data and records the results and conclusions of laboratory experiments. Interprets analytical data and prepares research reports. May assist in the establishment of experimental protocols. Postdoc appointments are tied to a research program directed by the Investigator. Essential Duties and Responsibilities: Performs research and/or development in collaboration with others for projects. Makes detailed observations, analyzes data, and interprets results. Exercises technical discretion in the design, execution, and interpretation of experiments that contribute to project strategies. Prepares technical reports, summaries, protocols, and quantitative analyses. Maintains familiarity with current scientific literature. Contributes to project process within his/her scientific discipline. Investigates, creates, and develops new methods and technologies for project advancement. Maintains high level of professional expertise through familiarity with scientific literature. May participate in scientific conferences and contribute to scientific journals. Uses professional concepts in accordance with HHMI’s objectives to solve complex problems in creative and effective ways. May determine methods and procedures on new assignments and may provide guidance to staff in the laboratory. Qualifications: Education: Ph.D. degree in neuroscience, biology, chemistry, biochemistry, physics, biophysics, or a computational field. Skills and Abilities: Demonstrated working knowledge of scientific principles. Exercises independent judgment in developing methods, techniques, and evaluation criteria for obtaining results. Ability to perform highly complex experiments with high levels of reliability and accuracy within time constraints. Operational knowledge of advanced lab equipment. Ability to provide work and supervise directions to others. Ability to initiate and compose communications for various purposes in an appropriate style. Ability to work successfully within a collaborative and collegial environment and foster this ability in others. Ability to review goals, analyze processes necessary to achieve those goals, and develop techniques and systems required to meet those goals. Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis. Please Note: This job description sets forth the job’s principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word “may,” the Essential Duties and Responsibilities described above are “essential functions” of the job, as defined by the Americans with Disabilities Act. Compensation: A Postdoc 00 is compensated at a rate of $74,200.00 annually at HHMI's Janelia Research Campus. HHMI’s salary structure is developed based on relevant job market data. HHMI considers a candidate's education, previous experiences, knowledge, skills and abilities, as well as internal equity when making job offers. Compensation and Benefits: Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more. HHMI is an Equal Opportunity Employer. #J-18808-Ljbffr

Data Scientist

Jobleads-US Ashburn, VA

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work, and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life. What you’ll be doing... You will drive profitable growth and business innovation by applying cutting-edge machine learning techniques and AI technology. You work on data science projects that drive product personalization, marketing effectiveness, channel optimization, better customer experience, and operation efficiency. You will work closely with a team of talented data scientists, Big Data engineers, and software developers and play a key role in developing and delivering the next generation AI/ML solutions to the business. You’ll create machine learning models to predict customer behavior and intent to support marketing campaigns for customer retention, prospect acquisition, and revenue growth. You’ll then present the results to various business partners such as marketing, finance, and our customer relationship management group. Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes Be involved in the design and development of machine learning/statistical models and ensure best performance Work closely with machine learning engineers to deploy models in production both in real-time and in batch process and systematically track model performance Assist engagement with key business stakeholders in discussion on business strategies and opportunities Build strong working relationships and develop deep partnerships with the business Become a subject matter expert on machine learning and predictive modeling Actively research new theories, techniques, and technologies What we’re looking for... You have strong analytical skills and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end-to-end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross-functional teams to implement data science-driven business solutions. You'll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Foundational quantitative knowledge and skills; extensive training in math, statistics, physical science, engineering, or other related fields Hands-on computing/programming skills; proficient in Python Even better if you have one or more of the following: Master’s degree in a quantitative field or equivalent A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field Experience in data science projects and delivering from end-to-end Technical experience in machine learning and statistical modeling Experience with in data management and data analysis in relational databases and Hadoop Experience with in SQL and database management Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more. #J-18808-Ljbffr

Data Scientist

Jobleads-US Ashburn, VA

Transform the future of federal services with ManTech! Join a vibrant, energetic team committed to enhancing national security and public services through innovative tech. Since 1968, we’ve partnered with Federal Civilian sectors to deliver impactful solutions. Engage in exciting projects in Digital Transformation, Cybersecurity, IT, Data Analytics and more. Ignite your career and drive change. Your journey starts now—innovate and excel with ManTech! ManTech seeks a motivated, career and customer oriented Senior Data Scientist SME to join our team in Ashburn, Virginia. This position is onsite two days a week. Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel. Responsibilities include but are not limited to: Lead and perform hands-on data and threat/intel analysis leading to development of analytics solutions (e.g. predictive models, visual analytics reports), to support CBP users conduct law enforcement mission critical activities. Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and associated data sets within an identified problem space to build predictive models as well as develop appropriate supporting documentation. Leverage knowledge of a variety of statistical and machine learning techniques to develop, evaluate, and deploy new predictive analytical models that directly inform mission decisions. Utilize and explore variety of statistical/modeling tools and languages to compare and assess best performing Machine Learning results. Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. Minimum Qualifications: HS Diploma/GED and 20+ years or AS/AA and 18+ years or BS/BA and 12+ years or MS/MA/MBA and 9+ years or PhD/Doctorate and 7+ years Experience in full-lifecycle development, deployment and monitoring of machine learning models to multiple platforms (on-prem/cloud etc.) and applying advanced analytics solutions to solve complex business problems Experience with programming languages including R, Python, Scala, Java, SQL/Spark Experience constructing and executing queries to extract data in support of EDA and model development Experience with evaluating, implementing and optimizing AI/ML algorithms to address constraints with large and imbalanced datasets. Experience with entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation) Experience with unsupervised and supervised machine learning techniques and methods Experience/Proficiency in conducting development and integration activities to deploy, assess and update AI/ML models into applications for end-user use and evaluation. Preferred Qualifications: Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Proficiency with Auto ML tools and platforms, such as AWS Sagemaker, DataRobot or DataBricks Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Master’s Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience Clearance Requirements: Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability. Must be eligible to obtain and maintain a Top Secret Physical Requirements: Must be able to be in a stationary position more than 50% of the time. Must be able to communicate, converse, and exchange information with peers and senior personnel. Constantly operates a computer and other office productivity machinery, such as a computer. ManTech International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with ManTech, please email us at [email protected] and provide your name and contact information. #J-18808-Ljbffr

POSTDOCTORAL SCIENTIST - TERVO LAB

Howard Hughes Medical Institute Ashburn, VA

Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. About the Tervo Lab: Our lab is part of the Mechanistic Cognitive Neuroscience department at Janelia. We seek to understand the mechanistic basis of social cognition. We do this by working to understand how rats classify and predict other rats' actions and decide how to respond to them. We develop tools to make this possible and use these tools to reveal the neural basis of rodent social interaction in ethological settings. Learn more about our work here. What we provide: A competitive compensation package with comprehensive health and welfare benefits. One on one mentorship relationship with the Principal Scientist. Opportunities to attend scientific workshops and conferences Optional affordable on-site housing! What you'll do: Lead an independent research project studying the neural basis of social interaction in rats. Long-term electrophysiological recordings of rats engaging in social interaction. Long-term behavioral observations of social interaction. What you bring: Ph.D. degree in any STEM field Programming experience Experience working with rodents (optional) Experience with neural recordings (ephys or imaging) or other neural techniques (optional) Physical Requirements : Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis. Please Note: This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word may, the Essential Duties and Responsibilities described above are essential functions of the job, as defined by the Americans with Disabilities Act. Compensation: A Postdoc 00 is compensated at a rate of $74,200.00 annually at HHMI's Janelia Research Campus. HHMI's salary structure is developed based on relevant job market data. HHMI considers a candidate's education, previous experiences, knowledge, skills and abilities, as well as internal consistency when making job offers. #LI-BG1 Compensation and Benefits Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more. HHMI is an Equal Opportunity Employer

POSTDOCTORAL SCIENTIST - ILANGES LAB

Howard Hughes Medical Institute Ashburn, VA

Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. Summary: The Ilanges lab is interested in understanding the role of the nervous system in controlling our physiological state. We are especially interested in how the nervous system can coordinate dramatic shifts in aspects of behavior, autonomic function, and metabolism during adaptive states such as our response to infection, termed sickness. To accomplish this, we use a combination of molecular and systems level approaches in both mice and zebrafish. For more information about the Ilanges lab, please visit here. About the Role: The lab is looking for a Postdoctoral Scientist with interest in neuroimmune interactions, molecular to circuit level dissection of circuits in the nervous system, neuronal control of organ function, or whole-body metabolism. The lab has ongoing projects exploring different aspects of physiology regulation with a foundation in neuroscience approaches and aided by organ function and metabolic phenotyping. Due to the nature of these projects, the lab is particularly interested in individuals willing to tackle difficult interdisciplinary projects at the interface of established fields. Candidates with experience in molecular biology, neuronal manipulations and imaging, immunology, metabolic phenotyping (e.g. metabolomics), and electrophysiology are particularly encouraged to apply. About the Lab: Our lab is a part of the 4D Cellular Physiology (4DCP) research area at Janelia Research Campus. 4DCP is a broad and collaborative group focused on general principles of cell and tissue organization across systems and how the nervous system communicates with these diverse peripheral systems to coordinate bodily function. Lab members are exposed to and work closely with labs that have diverse expertise and areas of research. What We Provide: A competitive compensation package, inclusive of comprehensive health and welfare benefits One-on-one mentorship relationship with the lab head Opportunities for close mentoring relationships with other group leaders and senior scientists across the Janelia Research Campus Generous training and travel opportunities to scientific workshops and conferences What You'll Do: Handle two or more independent or collaborative research projects studying the nervous systems role in controlling diverse aspects of physiology, particularly in the infection induced sickness state. Develop and test hypotheses to probe brain-body communication across scales in mice, with the potential to also work in zebrafish. In vivo two photon imaging and neuronal manipulations with opto- and chemogenetic tools Phenotype function at the level of individual organs, metabolism using indirect calorimetry and metabolomics, and behavior Whole mount tissue clearing and imaging Single cell RNA sequencing and single cell ATAC sequencing Stereotactic and other forms of surgery What You Bring: A Ph.D. in biology (neuroscience, molecular biology, immunology, metabolism, or related fields) Strong initiative, self-motivation, and capacity for creative problem solving. Strong verbal and written communication skills. Willingness to work collaboratively in small lab environment. Physical Requirements Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis. Please Note: This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word may, the Essential Duties and Responsibilities described above are essential functions of the job, as defined by the Americans with Disabilities Act. Compensation: A Postdoc 00 is compensated at a rate of $74,200.00 annually at HHMI's Janelia Research Campus. HHMI's salary structure is developed based on relevant job market data. HHMI considers a candidate's education, previous experiences, knowledge, skills and abilities, as well as internal consistency when making job offers. #LI-BG1 Compensation and Benefits Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more. HHMI is an Equal Opportunity Employer

Data Scientist

ManTech Ashburn, VA

ManTech seeks motivated, career- and customer-oriented Subject Matter Expert Data Scientist to join our team in Ashburn, VA.Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel.Responsibilities include but are not limited to: Lead and perform hands-on data and threat/intel analysis leading to development of analytics solutions (e.g. predictive models, visual analytics reports), to support CBP users conduct law enforcement mission critical activities.Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations to project schedules and outcomes.Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and associated data sets within an identified problem space to build predictive models as well as develop appropriate supporting documentation.Leverage knowledge of a variety of statistical and machine learning techniques to develop, evaluate, and deploy new predictive analytical models that directly inform mission decisions.Utilize and explore variety of statistical/modeling tools and languages to compare and assess best performing Machine Learning results.Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/project lifecycle through written as well as in-person reporting.Minimum Qualifications HS Diploma/GED and 20+ years, AS/AA and 18+ years, BS/BA and 12+ years, MS/MA/MBA and 9+ years, PhD/Doctorate and 7+ yearsAdvanced Knowledge in Machine Learning - Expertise in supervised, unsupervised, and reinforcement learning techniques, with hands on experience building and optimizing machine learning models.Generative AI Proficiency - Deep understanding of generative AI models (e.g. GANs, transformers) and experience developing or fine-tuning large language models (LLMs) like GPT or similar architectures.AI Model Deployment - Proven ability to operationalize AI/ML models at scale using frameworks such as TensorFlow, PyTorch and deploy them on cloud platforms like AWS SageMaker or Google Vertex AI.Programming and Algorithm Development - Strong programming skills in Python, R, Java, SQL, or Apache Spark with a focus on designing efficient algorithms for AI/ML applications. Skilled in data extraction, exploratory data analysis (EDA) and query construction for model development.Natural Language Processing (NLP) - Expertise in NLP techniques such as sentiment analysis, text summarization, entity recognition, and conversational AI using advanced transformer-based models (e.g. BERT, GPT).AI Ethics and Responsible AI - Familiarity with ethical considerations in AI development, including bias mitigation, transparency, fairness, and compliance with industry standards.Preferred Qualifications: Experience/Proficiency in conducting development and integration activities to deploy, assess and update Machine Learning models into applications for end-user use and evaluation.Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop).Master’s Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience.Clearance Requirements: Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability prior to starting this position.Must be able to obtain and maintain a TS clearance.Physical Requirements: Must be able to remain in a stationary position approximately 50% of the time.#J-18808-Ljbffr

Data Scientist

ManTech Ashburn, VA

ManTech seeks motivated, career- and customer-oriented Subject Matter Expert Data Scientist to join our team in Ashburn, VA. Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel. Responsibilities include but are not limited to: Lead and perform hands-on data and threat/intel analysis leading to development of analytics solutions (e.g. predictive models, visual analytics reports), to support CBP users conduct law enforcement mission critical activities. Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations to project schedules and outcomes. Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and associated data sets within an identified problem space to build predictive models as well as develop appropriate supporting documentation. Leverage knowledge of a variety of statistical and machine learning techniques to develop, evaluate, and deploy new predictive analytical models that directly inform mission decisions. Utilize and explore variety of statistical/modeling tools and languages to compare and assess best performing Machine Learning results. Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/project lifecycle through written as well as in-person reporting. Minimum Qualifications HS Diploma/GED and 20+ years, AS/AA and 18+ years, BS/BA and 12+ years, MS/MA/MBA and 9+ years, PhD/Doctorate and 7+ years Advanced Knowledge in Machine Learning - Expertise in supervised, unsupervised, and reinforcement learning techniques, with hands on experience building and optimizing machine learning models. Generative AI Proficiency - Deep understanding of generative AI models (e.g. GANs, transformers) and experience developing or fine-tuning large language models (LLMs) like GPT or similar architectures. AI Model Deployment - Proven ability to operationalize AI/ML models at scale using frameworks such as TensorFlow, PyTorch and deploy them on cloud platforms like AWS SageMaker or Google Vertex AI. Programming and Algorithm Development - Strong programming skills in Python, R, Java, SQL, or Apache Spark with a focus on designing efficient algorithms for AI/ML applications. Skilled in data extraction, exploratory data analysis (EDA) and query construction for model development. Natural Language Processing (NLP) - Expertise in NLP techniques such as sentiment analysis, text summarization, entity recognition, and conversational AI using advanced transformer-based models (e.g. BERT, GPT). AI Ethics and Responsible AI - Familiarity with ethical considerations in AI development, including bias mitigation, transparency, fairness, and compliance with industry standards. Preferred Qualifications: Experience/Proficiency in conducting development and integration activities to deploy, assess and update Machine Learning models into applications for end-user use and evaluation. Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc. Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop). Masters Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience. Clearance Requirements: Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability prior to starting this position. Must be able to obtain and maintain a TS clearance. Physical Requirements: Must be able to remain in a stationary position approximately 50% of the time. #J-18808-Ljbffr

Data Scientist

Avature Ashburn, VA

Transform the future of federal services with ManTech! Join a vibrant, energetic team committed to enhancing national security and public services through innovative tech. Since 1968, weve partnered with Federal Civilian sectors to deliver impactful solutions. Engage in exciting projects in Digital Transformation, Cybersecurity, IT, Data Analytics and more. Ignite your career and drive change. Your journey starts nowinnovate and excel with ManTech! ManTech seeks a motivated, career and customer oriented Senior Data Scientist SME to join our team in Ashburn, Virginia. This position is onsite two days a week. Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel. Responsibilities include but are not limited to: Lead and perform hands-on data and threat/intel analysis leading to development of analytics solutions (e.g. predictive models, visual analytics reports), to support CBP users conduct law enforcement mission critical activities. Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and associated data sets within an identified problem space to build predictive models as well as develop appropriate supporting documentation. Leverage knowledge of a variety of statistical and machine learning techniques to develop, evaluate, and deploy new predictive analytical models that directly inform mission decisions. Utilize and explore variety of statistical/modeling tools and languages to compare and assess best performing Machine Learning results. Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. Minimum Qualifications: HS Diploma/GED and 20+ years or AS/AA and 18+ years or BS/BA and 12+ years or MS/MA/MBA and 9+ years or PhD/Doctorate and 7+ years Experience in full-lifecycle development, deployment and monitoring of machine learning models to multiple platforms (on-prem/cloud etc.) and applying advanced analytics solutions to solve complex business problems Experience with programming languages including R, Python, Scala, Java, SQL/Spark Experience constructing and executing queries to extract data in support of EDA and model development Experience with evaluating, implementing and optimizing AI/ML algorithms to address constraints with large and imbalanced datasets. Experience with entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation) Experience with unsupervised and supervised machine learning techniques and methods Experience/Proficiency in conducting development and integration activities to deploy, assess and update AI/ML models into applications for end-user use and evaluation. Preferred Qualifications: Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Proficiency with Auto ML tools and platforms, such as AWS Sagemaker, DataRobot or DataBricks Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Masters Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience Clearance Requirements: Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability. Must be eligible to obtain and maintain a Top Secret Physical Requirements: Must be able to be in a stationary position more than 50% of the time. Must be able to communicate, converse, and exchange information with peers and senior personnel. Constantly operates a computer and other office productivity machinery, such as a computer. ManTech International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with ManTech, please email us at [email protected] and provide your name and contact information. #J-18808-Ljbffr

Senior Data Scientist

Verizon Communications Ashburn, VA

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life. What you'll be doing You will drive profitable growth and business innovation by applying cutting-edge machine learning techniques and AI technology. You work on data science projects that drive product personalization, marketing effectiveness, channel optimization, better customer experience, and operation efficiency. You will work closely with a team of talented data scientists, Big Data engineers, and software developers and play a key role in developing and delivering the next generation AI/ML solutions to the business. Youll create machine learning models to predict customer behavior and intent to support marketing campaigns for customer retention, prospect acquisition, and revenue growth. Youll then present the results to various business partners such as marketing, finance, and our customer relationship management group. At Verizon, we are on a multi-year journey to industrialize our data science and AI capabilities. Very simply, this means that AI will fuel all decisions and business processes across the company. At $130B+ in annual revenue, this is a pioneering opportunity to design and shape AI at scale in the Telco industry. With our leadership in bringing 5G network nationwide, the opportunity for AI will only grow exponentially in going from enabling billions of predictions to possibly trillions of predictions that are automated and real-time. Therefore, it will be critical that this candidate possess previous experience in research and validation of AI and data science techniques. Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes Be involved in the design and development of machine learning/statistical models and ensure best performance Work closely with machine learning engineers to deploy models in production both in real-time and in batch process and systematically track model performance Assist engagement with key business stakeholders in discussion on business strategies and opportunities Build strong working relationships and develop deep partnerships with the business Become a subject matter expert on machine learning and predictive modeling Actively research new theories, techniques, and technologies What we're looking for You have strong analytical skills and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end-to-end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross-functional teams to implement data science-driven business solutions. You'll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant experience required, demonstrated through work experience and/or military experience. Foundational quantitative knowledge and skills; extensive training in math, statistics, physical science, engineering, or other related fields Hands-on computing/programming skills; proficient in Python Experience in data science projects and delivering from end-to-end Technical experience in machine learning and statistical modeling Even better if you have one or more of the following: Masters degree in a quantitative field or equivalent A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field Experience with in data management and data analysis in relational databases and Hadoop Experience with in SQL and database management Excellent communication skills Excellent cross-functional collaboration skills Outstanding analytical and problem-solving skills If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every even better qualification listed above. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. #J-18808-Ljbffr

Senior Data Scientist

ManTech International Corporation Ashburn, VA

Description & RequirementsTransform the future of federal services with ManTech! Join a vibrant, energetic team committed to enhancing national security and public services through innovative tech. Since 1968, we've partnered with Federal Civilian sectors to deliver impactful solutions. Engage in exciting projects in Digital Transformation, Cybersecurity, IT, Data Analytics and more. Ignite your career and drive change. Your journey starts now-innovate and excel with ManTech!ManTech seeks a motivated, career and customer oriented Senior Data Scientist to join our team in Ashburn, Virginia . This position is onsite two days a week.Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel.Responsibilities include but are not limited to:Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies.Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting.Minimum Qualifications HS Diploma/GED and 15-20 years or AA/AS and 13-18 years or BS/BA and 7-12 years or MS/MA/MBA and 5-9 years or PHD/Doctorate and 3-7 years.Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problemsExperience with programming languages including: SQL, R, Python, Scala, Java.Experience constructing and executing queries to extract data in support of EDA and model developmentProficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalentExperience with pattern recognition and extraction, automated classification, and categorizationExperience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)Preferred Qualifications: Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.Experience with pattern recognition and extraction, automated classification, and categorizationExperience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI)Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)Master's Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experienceClearance Requirements: Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability prior to starting this positionPhysical Requirements: Must be able to be in a stationary position more than 50% of the time.Must be able to communicate, converse, and exchange information with peers and senior personnel.Constantly operates a computer and other office productivity machinery, such as a computer.ManTech International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.If you need a reasonable accommodation to apply for a position with ManTech, please email us at [email protected] and provide your name and contact information.

Data Scientist with Security Clearance

ManTech International Corporation Ashburn, VA

ManTech seeks a motivated, career and customer-oriented SME Data Scientist to join our team in Ashburn, VA. This is a hybrid position with 2 days on-site and 3 days remote weekly. Responsibilities include but are not limited to: * Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).* Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies.* Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.* Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.* Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.* Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/project lifecycle through written as well as in-person reporting. Minimum Qualifications: * Undergraduate degree in mathematics, statistics, computer science/engineering, or other related technical fields and 12 plus years equivalent practical experience.* Experience with:* Developing machine learning models and applying advanced analytics solutions to solve complex business problems.* Programming languages including R, Python, Scala, Java, and proficiency with SQL programming.* Constructing and executing queries to extract data in support of EDA and model development.* Pattern recognition and extraction, automated classification, and categorization.* Entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation).* Unsupervised and supervised machine learning techniques and methods.* Performing data mining, analysis, and training set construction.* Proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent.* Proficiency with supervised machine learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.* Proficiency with unsupervised machine learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Preferred Qualifications: * Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI).* Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop).* Master's degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience. Security Clearance Requirements: * Must be a U.S. Citizen and be able to obtain and maintain a CBP suitability prior to starting this position.* Must have a current/active Top Secret clearance. Physical Requirements: * Must be able to be in a stationary position more than 50% of the time* Constantly operates a computer and other office productivity machinery, such as a computer* The person in this position frequently communicates with co-workers, management and clients, which may involve delivering presentations ad must be able to exchange accurate information in these situations

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