Data Scientist at Solomon Page

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Faculty Position: Physician-Scientist, Assistant Attending Physician, Lymphoma Service, Department of Medicine

Memorial Sloan Kettering Cancer Center New York, NY

Company Overview: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. Job Description: Exciting Opportunity at MSK: Physician-Scientist, Assistant Attending Physician, Lymphoma Service The largest of MSK’s clinical departments, the Department of Medicine encompasses experts in solid tumor oncology, hematologic malignancies, subspecialty medicine and supportive and acute care services. Offering a range of services both in multiple sites in New York City and at their suburban outpatient locations in our Regional Care Network (RCN), DoM physicians oversee the care of the whole patient. Explore the Department of Medicine for additional information about the department and its services. Role Overview: The Lymphoma Service in the Division of Hematologic Malignancies, Department of Medicine is seeking a full-time Physician-Scientist at the Assistant Attending level or higher focused on basic or translational research at our Manhattan based Campus. Scientific focus should include research aimed at understanding the biology of lymphoma and developing novel therapeutic strategies for treating these malignancies. A demonstrated record of high level of scientific achievements, including top-tier publications and success in independent research funding is expected. The position in the Lymphoma Service will include clinical responsibilities, expertise in patient care, and teaching/training. Key Requirements : MD, DO, or equivalent Board eligible or board certified in Medical Oncology New York and/or New Jersey State License Eligible Certification in Basic Life Support, Advanced Cardiac Life Support and Child Abuse Identification & Reporting Salary Range : $235,000 - $520,000 Application Instruction:  Please click on this link to apply! Helpful links:     MSK's Compensation Philosophy Benefits   #LIOnsite Closing: MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Senior Research Scientist, Organic Synthesis Core Facility

Memorial Sloan Kettering Cancer Center New York, NY

Company Overview: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. Job Description: The Organic Synthesis Core Facility at Memorial Sloan Kettering Cancer Center is urgently looking for a PhD-level Organic/Medicinal Chemist to join our team. OSCF supports the work of both clinical and basic science colleagues by addressing their chemistry needs. The successful candidate will be responsible for maintaining high level productivity in the lab and will require good working knowledge of contemporary organic synthesis and medicinal chemistry to support a wide range of research projects. The candidate will have the ability to independently conceive and plan efficient synthetic strategies and designing molecules. The role requires performing experiments within established timelines, and make every effort to purify and characterize products, along with maintaining detailed and accurate laboratory notebooks. Additionally, the candidate will have the ability to reconcile bench work and effectively communicate research findings through written reports, and drafting manuscripts and patent applications. The ideal candidate should have PhD in Organic or Medicinal Chemistry. Excellent oral and written communication skills. Independent problem solving skills. Team spirit and strong interpersonal skills. Experience running flow chemistry is highly preferred. Experience with nucleoside and nucleotide chemistry is desirable. Knowledge of bioconjugation techniques is a plus. This position offers a unique opportunity in a collaborative and fast-paced environment. If you thrive in a team-oriented yet independent role, we encourage you to apply. Application Instructions Interested applicants should submit a cover letter, CV, an abridged overview of your accomplished synthesis or medicinal chemistry work, along with the names and contact information of at least three professional references. Please include specific examples that demonstrate your ability to work effectively in a team, as well as instances where you have shown independent problem-solving skills. Applications should be sent via email to: [email protected] Additional Information Hours : Onsite Monday – Friday, 9am – 5 pm Pay Range: $62,985 - $110,000 Closing: MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Data Scientist

Blue Signal New York, NY

Data Scientist Our client, an established and growing food manufacturer, is seeking a Data Scientist to join their team. The ideal candidate will have a proven track record of turning complex data into actionable insights, leading end-to-end data projects, and leveraging advanced tools to drive decision-making. You will collaborate with cross-functional teams to design, implement, and optimize data-driven strategies that enhance operational efficiency and product innovation. This Role Offers: The opportunity to work with a leading name in the food/beverage manufacturing industry. A role with significant impact on the company’s efficiency and growth. Competitive compensation and a comprehensive benefits package. A collaborative work environment that values innovation and leadership. Focus: Lead data-focused projects from inception through completion, including data engineering, analysis, predictive modeling, reporting, and visualization. Utilize Python for advanced data analysis, statistical modeling, and machine learning to develop and optimize solutions. Design and write efficient SQL queries and stored procedures to extract and transform data for analytical purposes. Create comprehensive dashboards and data visualizations to communicate findings to stakeholders. Work closely with cross-functional teams to translate business needs into data-driven solutions. Skill Set: Bachelor’s degree or higher in Analytics, Statistics, Data Science, or a related field. A minimum of 3 years of experience in a data analysis or data science role. Strong knowledge of Python, especially in the areas of data analysis, statistical modeling, and machine learning frameworks. Expertise in SQL, with advanced skills in writing efficient queries and optimizing database performance. Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint) for documentation and presentation of findings. Preferred Skills: Experience with Apache Airflow for managing and scheduling workflows. Familiarity with Docker for containerizing workflows and maintaining project environments. Comfortable with command-line interaction in Unix/Linux operating systems. Hands-on experience with Plotly Dash or Streamlit for developing data applications and dashboards. Knowledge of Selenium for web scraping and automated data collection is a plus. #J-18808-Ljbffr

Your Next Data Scientist Job Awaits in New York

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Data Scientist

Adelaide New York, NY

Fast-growing measurement company looking for a Data Scientist with 3-5 years of experience to work with our Data Science team to help build the AU and drive our measurement product forward. Who we are Adelaide is the leader in one of the fastest-growing areas of digital advertising: attention metrics. Since 2020, we’ve been a trusted measurement partner for 40% of Fortune 50 companies. They rely on our metric, AU, to maximize the effectiveness of media spend. AU is “the attention economy's most widely recognized metric,” according to Adweek, and we swept the measurement category in the 2024 Adexchanger awards. Our business is growing rapidly—we’ve doubled revenue in just 18 months and grew our team by 45% last year. Earlier this year, in partnership with The New York Times, we launched Adelaide for Publishers, the next step in our vision to create a more fair and equitable marketplace for media. Adelaide is backed by prominent investors such as Human Ventures (Joe Marchese), Aperiam Ventures (Joe Zawadzki & Eric Franchi), WGI (Jonah Goodhart), and Irwin Gotlieb. While we have an office in NYC, we’re very remote-friendly and support flexible work arrangements. How we operate We are a team of action-oriented doers; management rolls up their sleeves to contribute daily. Our culture is rooted in curiosity and loosely held but rigorously vetted opinions; everyone is encouraged to contribute to planning and strategy. Position Overview This position reports to the Director of Data Science; it will help to continue pushing forward the underlying models and data sets that create the AU , and work closely with product and client services team members to develop new data products and methodologies in support of all areas of the business. In this role, you will be joining a team of other data scientists and data engineers, and work with people across the organization to shape Adelaide’s data into a clear and concise story. You’ll be responsible for working with hundreds of millions of data points a day, quickly iterating on optimization methods that further advertising effectiveness and fuel the world’s first attention-based optimization platform. Day-to-day activities range from identifying and exploring new data sources, to training new models and iterating on existing models, to improving our codebase and pipelines. This is a fully remote position within the United States, with opportunities to connect with colleagues at our New York office. What you'll learn An important part of our culture is continuing education and the sharing of ideas. We offer: A large network of investors and advisors for you to access that will help your team succeed Mentorship from executives with decades of experience in adtech and media Regular internal knowledge-sharing sessions Education budget to accelerate your team’s development Specifically, in this role, you will learn: Gain a deep understanding of attention metrics and media quality measurement Complex user interaction patterns and ML solutions to account for specialized data sets Methods for processing and deriving insights from massive amounts of user experience signals Best practices and collaborative product development in a fast-paced collaborative environment Core Responsibilities Interpret raw data and form compelling narratives to draw meaningful insights that communicate our story and mission Work with our Data Science team, as well as Product and Customer Success, to shape Adelaide’s data into a clear and concise story Help to formulate, develop, and optimize models in production Help to support and augment our machine learning system to aid advertisers in buying efficient media Support client management teams with data-driven insights based on millions of behavioral data points each day Work with the engineering team to build efficient and robust data pipelines Help direct experimental studies aimed at understanding advertising value across multiple channels and media environments Workplace & Equipment New York office Access to WeWork spaces available Equal Employment Opportunity (EEO) Statement Adelaide is proud to be an Equal Opportunity Employer, committed to fostering a diverse, equitable, and inclusive workplace where all employees can thrive. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. Our commitment to equal opportunity employment extends beyond basic compliance to encompass the active cultivation of a workplace that values different perspectives, backgrounds, and experiences. The pay range for this role is: 120,000 - 140,000 USD per year (United States) #J-18808-Ljbffr

Data Scientist

Point72 Asset Management, L.P New York, NY

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of the latest technology capabilities and trends. We are committed to leveraging data-driven insights to drive innovation and improve our services. We are looking for a talented and motivated Mid-Level Data Scientist to join our dynamic team and help us in generating and automating key metrics. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you’ll do You will play a crucial role on our Data Analytics team, focusing generating and automating metrics. You will work closely with cross-functional teams to source data, produce actionable insights, and create visualizations that help drive business decisions. This role requires a blend of technical prowess and strong analytical skills, along with the ability to work independently and proactively. Specifically, you will: Develop and automate key metrics to support business objectives and decision-making processes Source, clean, and integrate data from various internal and external sources Perform data analysis using statistical and machine learning techniques to uncover insights and trends Create and maintain dashboards and visualizations to communicate findings to stakeholders Collaborate with cross-functional teams to understand their data needs and provide analytical support Write and maintain efficient, reusable, and reliable code in R and Python Document processes, methodologies, and code to ensure reproducibility and knowledge sharing Stay up to date with the latest trends and technologies in data science and analytics What’s required Bachelor’s or master’s degree in data science, computer science, statistics, mathematics, or a related field. Minimum of 5 years of experience in a data science role or a similar position Proven track record of driving metrics generation and automation in a business environment Proficiency in R and Python for data analysis, statistical modeling, and machine learning Strong experience with data manipulation and analysis using libraries such as pandas, numpy, etc. Expertise in data visualization tools and libraries such as Tableau, Power BI, matplotlib, and seaborn Experience with SQL for data extraction and manipulation Familiarity with version control systems like GitHub Understanding of data warehousing concepts and experience with databases (e.g., MySQL, PostgreSQL) Strong problem-solving skills and attention to detail. Excellent communication skills, both written and verbal, with the ability to convey complex data insights to non-technical stakeholders Ability to source data effectively and produce actionable insights Commitment to the highest ethical standards We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Mental and physical wellness programs Volunteer opportunities Non-profit matching gift program Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community Tuition assistance A 401(k) savings program with an employer match and more About Point72 Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here The annual base salary range for this role is $180,000-$210,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. #J-18808-Ljbffr

Data Scientist

National Association of County and City Health Officials New York, NY

Data Scientist Hybrid (NYC) 3-Month Contract $75-85/hr Role Overview We are partnered with wealth management firm that specializes in delivering tailored wealth management, financial planning, and investment services to high-net-worth individuals, families, and businesses. The firm focuses on providing comprehensive solutions to help clients manage and grow their wealth, plan for retirement, and navigate complex financial situations. Responsibilities Partner with Product, Engineering, and/or Design to enable clear, impactful, actionable, and innovative insights that shape key decisions. Conduct rigorous, high-quality analyses that shape the way they think about the future. Define and evaluate key metrics and understand their levers. Leverage clear communication skills, with an aptitude for translating analysis results into compelling and comprehensible concrete recommendations for the business. Adapt to a rapid changing environment and be proactively inquisitive to identify new areas of opportunity for Data Science. Have an eye for scale and identify ways in which your work can have broader impact. Have a strong sense of responsibility and integrity and can balance both short-term and long term objectives. Qualifications 3+ years of experience in Data Science & Analytics (prior experience in a start-up, fintech, or social media companies in a product/go-to-market capacity is a plus). SQL - you should be fluent with UDFs, joins, aggregation functions, and window functions to build complex queries for analyses. Prior experience with Python/R. Experience with visualization tools like Tableau, Looker, Amplitude Experience with ETL frameworks like Airflow & Stitch. Advanced degree in a quantitative field or equivalent experience in one or more of the following: Mathematics, Statistics, Economics, Computer Science, Machine Learning, Data Science, Engineering, etc. Strong knowledge of Statistics, Experiments (e.g. A/B Testing), Hypothesis testing, Machine Learning, and other Analytics approaches. Bonus: Technical chops w/ Git, Terminal, CLI, etc. Experience in: Causal Inference, Experiments + Variance Reduction (e.g. Delta Method, Post Stratification, CUPED), Machine Learning (Regression, Classification, Clustering, SVD/PCA, etc.), & Behavioral Econ. #J-18808-Ljbffr

Data Scientist

New York State Teachers' Retirement System New York, NY

Executive Division Research and Analytics Department – New York City Data Scientist Reference No: RAD_NYC_DAS_6327 Application Deadline: June 21, 2024 Goal: The Research and Analytics Department in the Office of the New York State Attorney General (OAG) is seeking candidates for a full-time Data Scientist position. Data scientists at the OAG bring their skills to bear across a wide variety of cases and investigations. The Data Scientist will utilize a vast array of tools to explore datasets, develop new databases, and use statistical modeling to detect anomalies in information pertinent to OAG investigations. The goal of the data scientist at the OAG is to ensure that our most complicated cases and policy arenas have the benefit of advanced analytical tools, methodologies, and strategic thinking to understand how otherwise elusive trends can be laid bare once we dive into the underlying data. Purview: As part of an innovative team housed in the Executive Division, you will work with senior staff and divisions throughout the OAG to support the OAG's major initiatives, investigations, and policy development. Our team researches and writes analytical reports garnering national attention, directs multi-million-dollar grant programs, and supports the OAG’s major investigations. The Data Scientist will support OAG work in numerous legal and regulatory arenas, including protecting the rights of investors and consumers, coordinating state-wide criminal investigations, promoting civil rights, economic and social justice, encouraging harm-reducing public health strategies, and preserving the State’s environment. Responsibilities of the Data Scientist include, but are not limited to: All aspects of using data to develop and test legal hypotheses, including: Brainstorming with legal teams on the data required Acquiring data through public sources and assisting legal teams to acquire data from confidential sources Testing data for reliability Distilling and incorporating relevant academic and other analytical research Developing and executing appropriate methodologies for data exploration and analysis Clearly communicating findings verbally and through written reports and visualizations Continuously updating analysis in the face of feedback and new data Quantifying uncertainty in analytical findings Working closely with legal teams on all the aspects above and providing guidance and recommendations on decision making around data Additional responsibilities may include: Developing predictive modeling to detect anomalies Developing or programming new databases or data tools Writing fact and expert reports for submission to the court and defending analysis and findings in depositions Helping to maintain and improve the team’s shared computational infrastructure Staying informed of the latest advances in data tools and techniques and sharing newfound skills with the team Performing other duties as requested Qualifications/Skills: Advanced degree in computer science, mathematics, applied statistics, physics, engineering or similar disciplines with demonstrated research capability or bachelor’s degree and equivalent experience and training At least two (2) years of demonstrated qualitative, quantitative, or investigative research abilities Git/github familiarity Experience with the following technologies: Programming, scripting and statistical languages (e.g., Python, R, use of dataframes) Data visualization software (e.g., Tableau, d3, altair, plotly, matplotlib, bokeh) Relational databases and advanced SQL queries Excellent oral, written, and presentation communication skills Ability to communicate technical concepts and results to non-technical audiences Highly organized, self-directed, and curious Personable and positive, with a high level of integrity Interest in public policy and social/economic justice Preferred additional experience in: Linux command line tools Cloud, distributed, and container computing platforms (e.g. AWS, Redshift, EC2, docker) Machine learning frameworks (e.g. supervised and unsupervised methods such as neural networks, random forests, and generalized linear models) Analyzing social networks (e.g. Facebook, Twitter, Instagram) Natural Language Processing or Entity Resolution The hiring rate for this position is $107,998 + $3,400 in location pay. As an employee of the OAG, you will join a team of dedicated individuals who work to serve the people of our State through a wide variety of occupations. We offer a comprehensive New York State benefits package, including paid leave, health, dental, vision and retirement benefits, and family-friendly policies. HOW TO APPLY: Applications must be submitted online. To apply, please click on the following link: RAD_NYC_DAS_6327 To ensure consideration, applications must be received by close of business on June 21, 2024. Applicants must be prepared to submit a complete application consisting of the following: Cover letter addressing your interest in the position and your strengths as a candidate. Resume Writing Sample or Code Sample (data ETL and/or analysis in Python and/or SQL). List of three (3) professional references. If you have questions regarding a position with the OAG and the application process or need assistance with submitting your application, please contact Legal Recruitment via email at [email protected] or phone at 212-416-8080. For more information about the OAG, please visit our website: www.ag.ny.gov #J-18808-Ljbffr

New York, NY

Posted 4 days ago

Job Description

Our Client passionate about data. They collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. The data services group is looking for a Data Scientist to join our dedicated team. The group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. This exceptional individual will be a member of a small team of Data Scientists who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.

Salary:$200-$240k

Responsibilities:

Identification of new data sets

Engaging with vendors to understand characteristics of datasets

Building processes and technology tools to ingest, tag and clean datasets

Analysis of datasets to generate descriptive statistics and propose potential applications of data

Research of potential "alpha signals" for presentation to Portfolio Managers

Monitoring and enhancing the automated data collection and cleansing infrastructure

Research on new technologies for improved data management and efficient retrieval

Required Qualifications:

Ph.D. in computer science, mathematics, physics, statistics or another disciplines involving rigorous quantitative analysis techniques. At least 1 year of experience as a Data Scientist, quantitative researcher or in a similar role.

Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling

Experience applying statistical tests to large data sets

Programming skills in SQL, TSQL, SQL Server or PL-SQL

Programming skills in Python and at least one of C#, C++, or Java

Financial industry experience preferred but not required

Experience dealing with intraday, tick and order book data a plus

Strong problem solving skills

Intellectual curiosity and a love of learning

Attention to detail and a love of process

If you meet the required qualifications and are interested in this role, please apply today.

The Solomon Page Distinction

Our teams, comprised of subject matter experts, develop an interest in your preferences and goals and we act as an advisor for your career advancement. Solomon Page has an extensive network of established clients which allows us to present opportunities that are well-suited to your respective goals and needs - this specialized approach sets us apart in the industries we serve.

About Solomon Page

Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .

Opportunity Awaits.