Data Scientist at Safelite

Dynamic Environment

Senior Scientist (Registered Dietician)

Collabera Columbus, OH

Job Description Job Description Job Description : · Day to day activities may include but are not limited to the following: · Function as a Subject Matter Expert (SME): to nutrition and clinical science expertise to translate complex science and research into compelling product claims and scientific messaging; communicate the science and product benefits to both internal and external audiences of varying knowledge levels; remain current in standards of nutrition care and scientific literature; represent Nutrition Science in cross-functional initiatives and programs; product claims development and substantiation. · Establish and maintain internal stakeholder relationships (e.g., platform scientists, product development, commercial (marketing and sales, sales training), public affairs, regulatory), and external stakeholders (e.g., key opinion leaders, customers, and consumers) innovate and support the nutrition product portfolio and deliver against business strategies. · Innovation and evidence generation: Actively engage in product ideation and innovation to build product pipeline; assess new ingredients and technologies; develop clinical research strategy that generates new evidence for new claims, messaging, and publications; engage in clinical research, secondary data analytics. · Communication skills (oral and written). Prepare and deliver nutrition science-based content and presentations to field sales force, sales training, affiliates, advisory boards, customers, consumers, and external key opinion leaders to support the global business strategy. Develop and review AN product and science educational materials (e.g., product monographs, training materials, medical justifications, FAQ documents, white papers, scientific backgrounders), as well as manuscripts for peer-reviewed journals. · Cross-functional partnership: Serve as SME and nutrition science lead on cross- functional teams, including new product development teams, process improvement, external programs, and collaborations. · Competitive surveillance: maintain up-to-date knowledge of competitors’ products, ingredients, features, and benefits; claims; educational events; understand implications of competitor activities and how this relates to our Nutrition line of products. Skills/Experience Requirements: · Strong collaborative, project leadership, research, publication/scientific writing skills, excellent oral and written skills required. · Proven ability to work independently, self-starter, collaborator with global teams and colleagues. · Ability to work constructively, decisively, and collegially with external and internal customers, consumers and key opinion leaders. · Minimum of 1-2 years clinical, industry, and/or academic experience that blends science and business preferred. Education Requirements : · MS/PhD/RD with minimum 1-2 years of relevant experience; experience working in a clinical setting highly desired but not required. Significant Work Activities & Conditions : · Continuous sitting and working on a computer for prolonged periods (more than 2 consecutive hours in an 8 hour day) is possible. Company Description Collabera is a Global Digital Solutions Company providing Software Engineering Solutions for the world's most tech-forward organizations in the areas of Engineering, Cloud and Data/AI. With its roots serving the engineering needs of the world's most recognized businesses in Technology, Financial Services, Telecom and Healthcare, Collabera today operates across 60 locations in 11 countries, serves 30% of the Fortune 500, and has exceeded the industry growth rate by 3-4x for several years. Company Description Collabera is a Global Digital Solutions Company providing Software Engineering Solutions for the world's most tech-forward organizations in the areas of Engineering, Cloud and Data/AI. With its roots serving the engineering needs of the world's most recognized businesses in Technology, Financial Services, Telecom and Healthcare, Collabera today operates across 60 locations in 11 countries, serves 30% of the Fortune 500, and has exceeded the industry growth rate by 3-4x for several years.

Best Match

Certified Lab Scientist or Certified Lab Tech - 0.6 FTE

Prairie Ridge Health Columbus, WI

Job Description Job Description Prairie Ridge Health is looking for a team member to join or Lab Department in the role of Certified Lab Scientist or Certified Lab Tech. This position is 0.6 FTE (24 hours per week). This position will be responsible for performing general laboratory testing in the areas of Hematology, Chemistry, Urinalysis, Transfusion Services, Coagulation, Microbiology, Serology, and Specimen processing with a high degree of accuracy and reliability...…. POSITION SUMMARY Lab Scientist The Medical Technologist performs general laboratory testing in the areas of Hematology, Chemistry, Urinalysis, Transfusion Services, Coagulation, Microbiology, Serology, and Specimen processing with a high degree of accuracy and reliability. The data obtained is used in the diagnosis and treatment of disease involving patient of all ages. The Medical Technologist develops and maintains test procedures and protocols, and troubleshoots both technology and sample related problems. (S)he exercises independent judgment and responsibility with minimal supervision. May supervise others in the absence of the Laboratory Supervisor. Makes decisions about the accuracy of test results, instrument operation, specimen suitability, and uses sound clinical judgment in setting the priority of tests/patients. OR Lab Tech I or II The Clinical Laboratory Technician I performs general laboratory testing in the areas of Hematology, Chemistry, Urinalysis, Transfusion Services, Coagulation, Microbiology, Serology, and Specimen processing with a high degree of accuracy and reliability. The data obtained is used in the diagnosis and treatment of disease involving patient of all ages. The Clinical Laboratory Technician II develops and maintains test procedures and protocols, and troubleshoots both technology and sample related problems. (S)he exercises independent judgment and responsibility with minimal supervision. Makes decisions about the accuracy of test results, instrument operation, specimen suitability, and uses sound clinical judgment in setting the priority of tests/patients. EDUCATION REQUIREMENTS/LICENSURE/CERTIFICATION/REGISTRATION Lab Scientist Bachelors’ degree in Medical Technology and graduate of an accredited Medical Technology Program. Registered or eligible as a Medical Technologist (MT) or Clinical Laboratory Scientist (CLS) with a national accrediting agency (ASCP) or (AMT) or qualified as a MT/CLS having passed the Federal Equivalence Exam (HEW). Certification must be obtained within 9 months of employment. Meets the CLIA 88 requirements for individuals performing highly complex testing. CPR certification or obtained within 90 days of hire. OR Lab Tech I Associate degree and completion of a 2 year CLT / Medical Laboratory Technician (MLT) training program. Certified or eligible as a Clinical Laboratory Technician or Medical Laboratory Technician (MLT) with a national accrediting agency (ASCP) or (AMT). Certification must be obtained within 9 months of hire. Meets the CLIA 88 requirements for individuals performing highly complex testing. One year of experience in a clinical laboratory performing highly complex testing is preferred. CPR certification obtained within 90 days of hire. OR Lab Tech II Associate degree and completion of a 2 year CLT / Medical Laboratory Technician (MLT) training program. Certified or eligible as a Clinical Laboratory Technician or Medical Laboratory Technician (MLT) with a national accrediting agency (ASCP or AMT). Certification must be obtained within 9 months of hire. Meets the CLIA 88 requirements for individuals performing highly complex testing. A minimum of five years' experience as a CLT/MLT. CPR certification obtained within 90 days of hire FTE: 0.6 (24 hours per week). Shift: 2nd shift, 1:30PM-10PM, 11:30AM-8PM, and every 3rd weekend and holiday rotation. Powered by JazzHR K9hNjjARt6

Immediate Start

Scientist I, Analytical Development (Proteins)

Forge Biologics Columbus, OH

Job Description Job Description About Forge Our mission at Forge Biologics, is to enable access to life changing gene therapies and help bring them from idea into reality. We partner with innovators in the gene therapy community: scientists, physicians, biotech/pharma companies, and patient groups. We bring expertise in gene therapy manufacturing and therapeutics development to the table, helping to champion teams that are navigating the long road from the lab bench to the bedside. Our goal is simple but vital to patients living with disease, and we take it seriously. With a patient-first approach, we are forging new models for working together to better accelerate these transformative medicines to reach those who need them the most. Forge is based in Columbus, Ohio, in a 200,000 square foot facility known affectionately by team members as, the Hearth. The Hearth, is a custom-designed cGMP facility dedicated to AAV manufacturing and hosts scalable, end-to-end manufacturing services. About The Team The Analytical Development Department is responsible for advancing analytical methods and processes to support the development and production of AAV gene therapy and plasmid products. This team specializes in designing and optimizing assays, ensuring the robustness and accuracy of analytical data, and contributes to the successful execution of critical projects in the field of gene therapy. With a commitment to excellence, the department enables clients to bring transformative treatments to patients with confidence and precision. About The Role The Scientist I, Analytical Development (Protein-Based Assays) will actively contribute to the development and qualification of protein-based assays for AAV gene therapy products. This position is responsible for designing experiments, analyzing data, and collaborating with cross-functional teams to ensure assay robustness and compliance. This individual will be developing capsid characterization as well as LC-MS based potency assays in the future. This position offers an exciting opportunity to contribute to cutting-edge research in gene therapy while fostering professional growth within a dynamic and innovative environment. What You'll Do Design and execute protein-based assays for the characterization and quality control of gene therapy products. Develop and optimize assay protocols, troubleshoot technical issues, and ensure assay robustness. Utilize a variety of analytical techniques, such as AUC, Mass Spectrometry, HPLC, ELISA, to analyze and characterize products. Analyze and interpret complex experimental data, providing valuable insights. Collaborate with cross-functional teams to integrate assay results into project goals. Participate in assay transfer activities and support assay validation efforts. Assist in the preparation of technical reports and regulatory documentation. Stay updated on scientific literature and industry advancements in protein-based assays. Contribute to process improvement initiatives and method development. Train and mentor junior team members in assay techniques and best practices. Maintain a high standard of laboratory safety and compliance. What You'll Bring Bachelor's or Master's degree in a relevant scientific field (e.g., biology, biochemistry, molecular biology). Experience developing, validating, and troubleshooting assays, ideally within the context of biologics or gene therapy products. Experience using Liquid Chromatography – Tandem Mass Spectrometry (LC-MS/MS) to perform routine analysis of environmental samples for the determination of contaminants of environmental concern. Proficiency in data analysis software and statistical tools. Ability to contribute to project planning and strategy discussions. Strong communication skills for technical reporting and collaboration with cross-functional teams. Preferred Skills PhD in a relevant scientific field (e.g., biology, biochemistry, molecular biology). Expertise in protein-based assay development, optimization, and troubleshooting. Experience with any of the following analytical techniques: AUC, Mass Spectrometry, HPLC, ELISA, Capillary Gel Electrophoresis, or Dynamic Light Scattering. Work Environment and Physical Demands This position works in both a laboratory environment and typical office environment where the physical work demands will vary depending on the specific tasks and duties required of the job. The employee will be stationary (standing/sitting) for extended periods of time. Employees regularly wear personal protective equipment based on the task being performed. Must be able to work in a confined space, such as a clean room or laboratory environment. Ability to identify small details within the field of vision, distinguish between different colors, and accurately identify objects within a specific area. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned. Forge Biologics is an equal opportunity employer dedicated to building an inclusive and diverse workforce. Forge Biologics, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Life at Forge We are a team of diverse, driven and passionate people working together to trailblaze a new model for how we make medicines to treat patients with genetic diseases. Our team members use their creativity and talent to invent new solutions, meet new demands, and offer the most effective services in the industry. Forge's core values lay the foundation for H.O.P.E. It provides us a common purpose that we all understand, work towards and live by. H ARDWORKING - We work hard and smart, making a persistent and determined effort toward success. Working hard, with focus and desire is the key. O PEN - We strive to be approachable, actively listen and encourage others to contribute and speak up. We positively offer and receive constructive feedback. P URPOSE DRIVEN - We are passionate about working towards and delivering on our mission to manufacture gene therapies. E NGAGED - We are fully absorbed by and enthusiastic about our work and take positive action to further Forge's vision, mission and goals. We've Got You Covered We take the health and happiness of our employees seriously and are consistently evaluating new ways to make our benefits truly Un FORGE ttable. Health, Dental, and Vision insurance that starts on your first day at Forge, with 90% of premiums covered for team members as well as dependents Flexible PTO (plus 14 paid company holidays) Annual bonus for all full-time employees 401(K) company match Fully-stocked kitchen with free food/drinks 12 weeks of paid parental leave - additional discount programs include childcare support & dependent care Employee Assistance Program Wellness benefits (financial planning services, mental health counseling, employer paid disability) Professional & Personal development resources - LinkedIn Learning, a dedicate training staff in-house, mentoring opportunities & access to leadership development coaches

Senior Scientist, Process Development - Upstream

Forge Biologics Columbus, OH

Job Description Job Description About Forge Forge, a member of Ajinomoto Bio-Pharma Services, is a gene therapy development engine, focused on enabling access to life changing gene therapies and helping bring them from idea into reality. We partner with innovators in the gene therapy community: scientists, physicians, biotech/pharma companies, and patient groups. We bring expertise in gene therapy manufacturing and therapeutics development to the table, helping to champion teams that are navigating the long road from the lab bench to the bedside. Our goal is simple but vital to patients living with disease, and we take it seriously. With a patient-first approach, we are forging new models for working together to better accelerate these transformative medicines to reach those who need them the most.  Forge is based in Columbus, Ohio, in a 200,000 square foot facility known affectionately by team members as, the Hearth. The Hearth, is a custom-designed cGMP facility dedicated to AAV manufacturing and hosts scalable, end-to-end manufacturing services. About The Team The Upstream Process Development Department is responsible for designing and optimizing the production processes of Adeno-Associated Virus (AAV) vectors, which are essential components in gene therapy treatments. This team focuses on developing scalable and robust upstream processes that enable efficient and high-yield production of AAV vectors. They conduct research and apply advanced techniques to enhance vector yield, quality, and purity, while also ensuring compliance with regulatory guidelines. About The Role The Senior Scientist, Process Development – Upstream you will play a critical role in driving the development and optimization of AAV manufacturing processes. This individual will provide technical leadership, mentorship, and strategic insights to the team, contributing to the organization's long-term success and to the advancement of AAV manufacturing processes. What You'll Do Lead and oversee complex experiments for AAV upstream process development, utilizing single-use bioreactors and advanced techniques. Provide technical expertise in bioreactor operation, cell culture, and transfection, acting as the Subject Matter Expert (SME). Drive process optimization initiatives to enhance AAV yields, quality, and scalability, contributing to project leadership. Conduct independent research and lead projects, compiling and contributing experimental data for publications or reports. Independently present results and prepare publications or reports, demonstrating strong communication skills. Manage and mentor junior team members, reviewing expertimental data and providing guidance and direction. Perform individual performance reviews, providing coaching/feedback to ensure employee development. Generates protocols/templates that can be utilized by junior team members. Develop and revise standard operating procedures (SOPs) and batch records to ensure process consistency. Contribute to the development and implementation of innovative process development strategies. Oversee day-to-day laboratory activities, including equipment maintenance, supplies management, and cleanliness. Support internal process transfer activities from Process Development to GMP. Demonstrate a breadth of scientific expertise (knowledge and technique) in laboratory functions that are pertinent to company goals. Collaborate cross-functionally with research and manufacturing teams to ensure seamless technology transfer and process implementation. Develop and execute process validation strategies and support regulatory filings. Stay current with advancements in AAV production technologies, gene therapy field, and regulatory requirements, and apply this knowledge to continuously improve processes and support business growth. What You'll Bring Bachelor's Degree in Chemical Engineering, Biomedical Engineering, Biology, or related discipline (or equivalent experience). Working knowledge of cell culture techniques utilizing mammalian, insect, or microbial cells. Technical expertise in upstream process development and scale up principles. Proven ability to operate and troubleshoot bioreactors. Experience planning, conducting and reviewing experimental data with minimal oversight. Experience analyzing data sets and utilizing the corresponding data to influence decision making. Prior experience working with internal/external stakeholders and presenting data to drive decisions. Experience directly managing junior team members. Preferred Skills Master's Degree or PhD in Chemical Engineering, Biomedical Engineering, Biology, or related discipline (or equivalent experience). Experience working with viral vectors (AAV, Lentivirus, etc.). Work Environment and Physical Demands This position works in both a laboratory environment and typical office environment where the physical work demands will vary depending on the specific tasks and duties required of the job. The employee will be stationary (standing/sitting) for extended periods of time. Employees regularly wear personal protective equipment based on the task being performed. Must be able to work in a confined space, such as a clean room or laboratory environment. Ability to identify small details within the field of vision, distinguish between different colors, and accurately identify objects within a specific area. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned. Forge Biologics is an equal opportunity employer dedicated to building an inclusive and diverse workforce. Forge Biologics, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Life at Forge We are a team of diverse, driven and passionate people working together to trailblaze a new model for how we make medicines to treat patients with genetic diseases. Our team members use their creativity and talent to invent new solutions, meet new demands, and offer the most effective services in the industry. Forge's core values lay the foundation for H.O.P.E. It provides us a common purpose that we all understand, work towards and live by.  H ARDWORKING - We work hard and smart, making a persistent and determined effort toward success. Working hard, with focus and desire is the key. O PEN - We strive to be approachable, actively listen and encourage others to contribute and speak up. We positively offer and receive constructive feedback. P URPOSE DRIVEN - We are passionate about working towards and delivering on our mission to manufacture gene therapies. E NGAGED - We are fully absorbed by and enthusiastic about our work and take positive action to further Forge's vision, mission and goals. We've Got You Covered We take the health and happiness of our employees seriously and are consistently evaluating new ways to make our benefits truly Un FORGE ttable. Health, Dental, and Vision insurance that starts on your first day at Forge, with 90% of premiums covered for team members as well as dependents Flexible PTO (plus 14 paid company holidays) Annual bonus for all full-time employees 401(K) company match Fully-stocked kitchen with free food/drinks 12 weeks of paid parental leave - additional discount programs include childcare support & dependent care Employee Assistance Program Wellness benefits (financial planning services, mental health counseling, employer paid disability) Professional & Personal development resources - LinkedIn Learning, a dedicate training staff in-house, mentoring opportunities & access to leadership development coaches

Senior Associate Scientist, Process Development - Upstream

Forge Biologics Columbus, OH

Job Description Job Description About Forge Forge, a member of Ajinomoto Bio-Pharma Services, is a gene therapy development engine, focused on enabling access to life changing gene therapies and helping bring them from idea into reality. We partner with innovators in the gene therapy community: scientists, physicians, biotech/pharma companies, and patient groups. We bring expertise in gene therapy manufacturing and therapeutics development to the table, helping to champion teams that are navigating the long road from the lab bench to the bedside. Our goal is simple but vital to patients living with disease, and we take it seriously. With a patient-first approach, we are forging new models for working together to better accelerate these transformative medicines to reach those who need them the most. Forge is based in Columbus, Ohio, in a 200,000 square foot facility known affectionately by team members as, the Hearth. The Hearth, is a custom-designed cGMP facility dedicated to AAV manufacturing and hosts scalable, end-to-end manufacturing services. About The Team: The Upstream Process Development Department is responsible for designing and optimizing the production processes of Adeno-Associated Virus (AAV) vectors, which are essential components in gene therapy treatments. This team focuses on developing scalable and robust upstream processes that enable efficient and high-yield production of AAV vectors. They conduct research and apply advanced techniques to enhance vector yield, quality, and purity, while also ensuring compliance with regulatory guidelines. About the role: The Senior Associate Scientist, Process Development – Upstream is a key contributor to the development and optimization of AAV manufacturing processes. This individual will closely with cross-functional teams to provide technical expertise in upstream processes, lead and oversee experiments, and to contribute to the overall development of scalable AAV production processes. What you'll do: Lead and oversee complex experiments for AAV upstream process development. Provide technical expertise in bioreactor operation, cell culture, and transfection. Drive process optimization initiatives to enhance AAV yields, quality, and scalability. Analyze and interpret experimental data, applying advanced statistical methods. Assist in the training and guidance of junior team members, fostering their professional growth. Develop and revise standard operating procedures (SOPs) and batch records. Ensure proper inventories of raw materials and consumables. Prepare formulations and raw materials as specified in protocols without the introduction of contaminants. Contribute to the development and implementation of innovative process development strategies. Participate in equipment maintenance and calibration activities. What you'll bring: Bachelor's Degree in Chemical Engineering, Biomedical Engineering, Biology, or related discipline (or equivalent experience). Working knowledge of cell culture techniques utilizing mammalian, insect, or microbial cells. Proven experience operating and troubleshooting bioreactors. Experience planning, conducting and reviewing experimental data with minimal oversight. Preferred: Experience working with viral vectors (AAV, Lentivirus, etc.). Physical Requirements: This position works in both a laboratory environment and typical office environment where the physical work demands will vary depending on the specific tasks and duties required of the job. The employee will be stationary (standing/sitting) for extended periods of time. Employees regularly wear personal protective equipment based on the task being performed. Must be able to work in a confined space, such as a clean room or laboratory environment. Ability to identify small details within the field of vision, distinguish between different colors, and accurately identify objects within a specific area. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned. Forge Biologics is an equal opportunity employer dedicated to building an inclusive and diverse workforce. Forge Biologics, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Life at Forge We are a team of diverse, driven and passionate people working together to trailblaze a new model for how we make medicines to treat patients with genetic diseases. Our team members use their creativity and talent to invent new solutions, meet new demands, and offer the most effective services in the industry. Forge's core values lay the foundation for H.O.P.E. It provides us a common purpose that we all understand, work towards and live by. HARDWORKING - We work hard and smart, making a persistent and determined effort toward success. Working hard, with focus and desire is the key. OPEN - We strive to be approachable, actively listen and encourage others to contribute and speak up. We positively offer and receive constructive feedback. PURPOSE DRIVEN - We are passionate about working towards and delivering on our mission to manufacture gene therapies. ENGAGED - We are fully absorbed by and enthusiastic about our work and take positive action to further Forge's vision, mission and goals. We've Got You Covered We take the health and happiness of our employees seriously and are consistently evaluating new ways to make our benefits truly UnFORGEttable. Health, Dental, and Vision insurance that starts on your first day at Forge, with 90% of premiums covered for team members as well as dependents Flexible PTO (plus 14 paid company holidays) Annual bonus for all full-time employees 401(K) company match Fully-stocked kitchen with free food/drinks 12 weeks of paid parental leave - additional discount programs include childcare support & dependent care Employee Assistance Program Wellness benefits (financial planning services, mental health counseling, employer paid disability) Professional & Personal development resources - LinkedIn Learning, a dedicate training staff in-house, mentoring opportunities & access to leadership development coaches

Research Scientist

Upstart Columbus, OH

About Upstart Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than two-thirds of Upstart loans are approved instantly and are fully automated. Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas. Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you! The Team: At Upstart, our mission is to expand access to credit using advanced machine learning models that better evaluate true risk. As part of this, our teams focus on developing models across various verticals, including Growth marketing, Auto Loans, and Personal Loans Underwriting. These teams are critical to the success of Upstart, directly impacting our customer acquisition efforts and revenue generation through predictive modeling, innovative algorithms, and cross-functional collaboration. Our Machine Learning (ML) Teams work on creating and deploying production models that power key aspects of Upstart’s business: Growth: Models that predict conversion probabilities and prioritize high-potential prospects for outbound marketing. Auto Loans: Models that underwrite all auto loans, assessing true borrower risk based on innovative features and methodologies. Personal Loan Underwriting: Models that evaluate every applicant’s risk, having a direct impact on Upstart’s core business. As a Research Scientist, you will have the opportunity to work in one of these highly specialized teams, contributing to the development and deployment of business-critical models, optimizing marketing strategies, underwriting processes, and enhancing business metrics. The Role: Research and develop new machine learning models to enhance the accuracy of predictions in borrower risk, marketing conversions, or underwriting processes. Design, prototype, and deploy models to production, ensuring robust and scalable implementations. Collaborate cross-functionally with engineers, product managers, and marketing specialists to experiment with and optimize models for business outcomes. Evaluate the performance of models, interpret their impact on business metrics, and present actionable insights to stakeholders. Continuously explore novel algorithms and methodologies to keep Upstart’s ML systems at the cutting edge of technology. Mentor junior team members and contribute to the development of a high-quality, production-ready codebase. Minimum Qualifications: Bachelor’s degree in a scientific or quantitative discipline (e.g., Math, Physics, Computer Science, Statistics, Economics, Operations Research). 2+ years of experience in Machine Learning or a similar field. Proficiency in Python or other programming languages. Strong understanding of statistical, probability, and machine learning theory. Full-stack expertise in the modeling process from ideation to production, OR deep expertise in either statistical modeling or machine learning. Ability to break down complex tasks into smaller steps and make the right tradeoffs to deliver projects on time. Ability to communicate technical concepts effectively to non-technical stakeholders. Strong sense of intellectual curiosity, humility, and teamwork. Preferred Qualifications: Master’s degree or PhD in a quantitative discipline (e.g., Math, Physics, Economics, Computer Science, Statistics, Operations Research). Deep expertise in Python and experience with machine learning frameworks. Experience leading or mentoring junior members in a technical team. Proficiency in building and deploying machine learning pipelines and engineering architecture. Strong critical thinking skills and ability to develop testable hypotheses. Proven ability to meet high standards in terms of quality and velocity with minimal direction. What you’ll love: Competitive Compensation (base + bonus & equity) Comprehensive medical, dental, and vision coverage Personal Development and Technology & Ergonomic Budgets Life insurance and disability benefits Clubs and Activities (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams) Generous vacation policy 401(k) and Employee Stock Purchase Plan (ESPP) Catered lunches + snacks & drinks Position Location: This role is available in remote locations across the United States. Team collaboration happens through a mix of remote and in-person sessions, with regular on-site meetings happening 1-2 times per quarter. #LI-REMOTE #LI-Associate At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $123,200 — $170,500 USD Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email [email protected] https://www.upstart.com/candidate_privacy_policy #J-18808-Ljbffr

Environmental Scientist

Burgess & Niple, Inc. Columbus, OH

Collaborate on environmental projects with our experienced team of technical professionals in Columbus, OH. B&N Environmental Scientist Responsibilities: Lead/Manage stream and wetland restoration design projects Field investigations, including but not limited to stream assessments, wetland delineations, vegetation surveys, and construction review Conduct project pursuit activities including marketing, proposal development, grant funding assistance, and attending/presenting at conferences Read, analyze, and interpret plan sheets, technical procedures, government regulations and industry standards Interact with clients and regulatory agencies Out of town/state travel will be required within the Midwestern U.S. Skills & Qualifications: Bachelor’s degree in the field of Environmental Science, Biology, Ecology, Environmental or Ecological Engineering, or related degree; Master’s degree preferred 5+ years of related experience with a strong background in stream and wetland restoration design preferred Microsoft Office, GIS, Rivermorph experience required Training: Rosgen Level II or higher preferred Experience with natural channel design based on Rosgen classification system Hydraulic modeling experience a plus Self-motivated and ability to work both independently and as part of a team Excellent communication skills and detail oriented Ability to work outside in all weather conditions and traverse uneven terrain Ability to travel up to 10-20% of time, including overnight stays Valid driver’s license and acceptable driving record Sponsorship: Immigration related employment benefits, e.g. visa sponsorship, are not available for this position. To learn more about B&N's Perks and Culture click here . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, age, national origin, disability status, marital status, sexual orientation, protected veteran status, or any other characteristic protected by law. Click here to view our Equal Employment Opportunity & Affirmative Action Policy Statement. #J-18808-Ljbffr

Immediate Start

Research Scientist

The Ohio State University Columbus, OH

Research Scientist to participate in the development and implementation of a nationally competitive program on tumor cell biology within Dr. Xuefeng Liu laboratory (Conditional Reprogramming Laboratory) in the Department of Pathology and OSU CCC. Responsibilities Include: Writes and submits grant proposals of original research in the area of tumor cell biology and oncogenic viruses as co-investigator or collaborator to obtain funding in support of research with significant salary support from extramural funding sponsors Develops and tests hypotheses Plans, designs and executes advanced research experiments Conducts statistical analysis, evaluation and interpretation of raw data Plans and writes manuscripts, articles, abstracts and research reports for publication in peer-reviewed journals Develops and implements new research techniques and methodologies in the laboratory Writes IRB and ILACUC protocols as needed for research Ensures and is accountable for compliance to federal and institutional laboratory and radiation safety regulations Supervises and trains junior research staff, post doctoral researchers, residents, and undergraduate & graduate students Develops new and on-going collaborative research opportunities. Minimum Education Required: Doctorate (Academic) in Biomedical Science or equivalent combination of education and experience Required Qualifications: Demonstrated ability to be a competent and productive researcher i.e. incumbent will have authored several publications of considerable interest and value to the field as evidenced by favorable reviews, by citation in the work of others, by presentations of papers to professional societies, and/or will have contributed inventions, new designs, or techniques which are of material significance in the solution of important applied problems. 36 months experience in the field as Research Scientist is required. Salary Range : $ 62,700 - $83,600 per year #J-18808-Ljbffr

Data Scientist

The Hartford Columbus, OH

Data Scientist - GD08AE We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks a data scientist within a multidisciplinary actuarial/data science team responsible for designing and delivering powerful analytical insights utilizing statistical modeling, machine learning, and data engineering techniques to enhance and overhaul core actuarial processes. Our team is a cross-functional team of data scientists, data engineers, and actuaries working in a highly collaborative environment which involves heavy interaction with partner-customers across actuarial, product, and data science. We seek candidates with a strong foundation in statistical modeling and/or machine learning who have a drive for finding novel and efficient solutions to maximize business value. As a data scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve loss modeling solutions. Our team culture prioritizes flexibility and innovation, so an aptitude and desire to research state-of-the-industry solutions is a must, along with an aptitude to learn new tools and languages as necessary. This role will involve communicating model results to varying business partners so strong communication and presentation skills are required. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise. Responsibilities: Create statistical models, algorithms, and machine learning techniques to enhance traditional actuarial processes and assumptions Think creatively to envision how we can enhance long-standing actuarial methodology using statistical modeling and machine learning techniques Use R and/or Python to build, maintain, and support loss models across different lines of business Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations and effectively translate results to business initiatives Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources Participate in the creation and deployment of long-term tools to continually evolve the business Contribute to the successful implementation of strategies to achieve targeted business objectives Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function Qualifications: 2+ years of relevant experience recommended Preference for at least one of: Master’s in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field Progress towards relevant professional credentials (e.g. FCAS, FSA, CSPA) Experience in statistical modeling, inference, and building machine learning algorithms in Python and/or R Experience in SQL and navigating databases to extract relevant attributes Experience in Unix, Git, Shiny and R Markdown is a plus Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation Able to communicate effectively with both technical and non-technical audiences High level of independence, but is also a team player that demonstrates a high level of ownership Results driven with commitment to meeting deadlines Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation: The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $87,120 - $130,680 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits #J-18808-Ljbffr

High salary

Data Scientist

The Hartford Columbus, OH

Data Scientist - GD08AE We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks a data scientist within a multidisciplinary actuarial/data science team responsible for designing and delivering powerful analytical insights utilizing statistical modeling, machine learning, and data engineering techniques to enhance and overhaul core actuarial processes. Our team is a cross-functional team of data scientists, data engineers, and actuaries working in a highly collaborative environment which involves heavy interaction with partner-customers across actuarial, product, and data science. We seek candidates with a strong foundation in statistical modeling and/or machine learning who have a drive for finding novel and efficient solutions to maximize business value. As a data scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve loss modeling solutions. Our team culture prioritizes flexibility and innovation, so an aptitude and desire to research state-of-the-industry solutions is a must, along with an aptitude to learn new tools and languages as necessary. This role will involve communicating model results to varying business partners so strong communication and presentation skills are required. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise. Responsibilities Create statistical models, algorithms, and machine learning techniques to enhance traditional actuarial processes and assumptions Think creatively to envision how we can enhance long-standing actuarial methodology using statistical modeling and machine learning techniques Use R and/or Python to build, maintain, and support loss models across different lines of business Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations and effectively translate results to business initiatives Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources Participate in the creation and deployment of long-term tools to continually evolve the business Contribute to the successful implementation of strategies to achieve targeted business objectives Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function Qualifications 2+ years of relevant experience recommended Preference for at least one of: Master’s in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field Progress towards relevant professional credentials (e.g. FCAS, FSA, CSPA) Experience in statistical modeling, inference, and building machine learning algorithms in Python and/or R Experience in SQL and navigating databases to extract relevant attributes Experience in Unix, Git, Shiny and R Markdown is a plus Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation Able to communicate effectively with both technical and non-technical audiences High level of independence, but is also a team player that demonstrates a high level of ownership Results driven with commitment to meeting deadlines Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $87,120 - $130,680 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age #J-18808-Ljbffr

Columbus, OH

Posted 3 days ago

Job Description

This Data Scientist is instrumental in the development of insights, models, and advanced analyses to drive measurable, profitable data-driven decision-making across Safelite's business. This position combines disparate data from multiple internal and external sources, determines the best model to address the business question at hand, creates actionable insights, and contributes to a holistic understanding of consumer behavior as it relates to Safelite products and services.

What Youll Do

Identify and apply optimal statistical analysis, supervised, and unsupervised modeling techniques to drive decision-making and KPI improvement; techniques may include A/B and multivariate testing, predictive analysis, clustering, anomaly detection, and exploratory analyses. Discover, quantify, and make actionable data-driven conversion opportunities across a variety of data domains, including customer experience, supply chain, and field operations. Manage the modeling and insights portion of the data science pipeline independently, from data tidying, preparation, and visualization to model creation and training; support and learn from senior team members to expand into the data acquisition and model deployment portions of the data science lifecycle. Support the testing of key conversion and pricing strategies, including the ability to model and present key financial results and outcomes. Performs other duties as assigned. Comply with all policies and standards.

What Youll Need

Bachelors degree in Statistics, Analytics or related quantitative field Minimum 1-3 years relevant experience as a data scientist or advanced analyst Strong problem-solving skills, detail-oriented, and ability to manage multiple projects simultaneously.

Experience with modeling for practical business execution: Demonstrated expertise in developing, validating, and implementing models that have driven concrete business value. Strong in Microsoft Excel and Tableau or similar BI tools, with direct experience presenting model driven insights and trends to stakeholders. Demonstrated competence in tidying, visualization, descriptive and predictive statistical analysis, machine learning, and model delivery using at least one modern open-source statistical programming language. Intermediate understanding of applied statistics and fundamental machine learning concepts. Familiarity with and understanding of e-commerce, digital and voice lead channels, and B2C pricing strategies. Intermediate SQL skills: Demonstrated experience querying databases and integrating data from multiple sources. Intermediate experience with top statistical programming languages (i.e., R or Python)

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