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Senior Computer Data Scientist Jobs in New York (NOW HIRING)

Senior Data Scientist

New York, NY · Hybrid

$163K - $215K/yr

We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and implement strategies for the discovery, collection, and analysis of business data relating to ...

The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and implement strategies for the discovery, collection, and analysis of business data relating to ...

Senior Data Scientist

Manhattan, NY · On-site

$125K - $150K/yr

The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and implement strategies for the discovery, collection, and analysis of business data relating to ...

AA2IT is seeking a Sr. Data Scientist to join their Digital Sciences team within the Analytical ... Required : • Candidates with a degree in computer science or related field; or a degree in the ...

Senior Data Scientist

Manhattan, NY · On-site

$124K - $186K/yr

We are seeking a Senior Data Scientist who is excited to build ML products that shape business ... D in Statistics/Data Science/Computer Science or related disciplines with specialization in machine ...

Senior Data Scientist

Manhattan, NY · On-site

$130 - $170/hr

As a Senior Data Scientist, you'll partner with engineering, product, and business leaders to drive analysis that shapes strategy -- from bidding efficacy and audience curation to measurement ...

Senior Data Scientist

Manhattan, NY · On-site

$124K - $186K/yr

We are seeking a Senior Data Scientist who is excited to build ML products that shape business ... D in Statistics/Data Science/Computer Science or related disciplines with specialization in machine ...

Data Scientist

Manhattan, NY · On-site

$114K - $129K/yr

Senior Data Scientist (Predictive Modeling & Analytics) Role Overview We are seeking a Senior Data ... Advanced degree (Master's or PhD) in Statistics, Computer Science, Data Science, or a related ...

Senior Data ScientistAbout the Role We're looking for a Senior Forecasting Data Scientist to own and lead the models that drive financial planning for our subscription business. You'll forecast the ...

As a Senior Staff Data Scientist, you will go beyond individual problem solving - you will help ... Computer Science, Data Science, Machine Learning, or a related quantitative field. * Proven ...

Senior Data Scientist

Manhattan, NY · On-site

$124K - $186K/yr

We are seeking a Senior Data Scientist who is excited to build ML products that shape business ... D in Statistics/Data Science/Computer Science or related disciplines with specialization in machine ...

As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the ... PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines ...

Senior Data Scientist

Manhattan, NY · On-site

$124K - $186K/yr

We are seeking a Senior Data Scientist who is excited to build ML products that shape business ... D in Statistics/Data Science/Computer Science or related disciplines with specialization in machine ...

As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the ... PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines ...

Showing results 21-40

Senior Computer Data Scientist information

What is the difference between Senior Computer Data Scientist vs Data Analyst?

AspectSenior Computer Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Computer Science, Data Science, or related fields; experience with programming, machine learningBachelor's degree in Statistics, Mathematics, or related fields; proficiency in data visualization and basic analytics
Work EnvironmentDevelops models, algorithms, and advanced analytics; often in R&D or data science teamsPrepares reports, visualizations, and interprets data for business decisions
Employer & Industry UsageTech companies, finance, healthcare, and large enterprises with complex data needsRetail, marketing, finance, and smaller organizations focusing on data reporting

While both roles analyze data, Senior Computer Data Scientists focus on building advanced models and algorithms, requiring deeper technical expertise. Data Analysts primarily interpret and visualize data for business insights. The roles often overlap in data handling but differ in complexity and technical depth.

What does a senior computer data scientist do?

A senior computer data scientist analyzes large datasets to extract insights, develop predictive models, and support decision-making processes. They often use programming languages like Python or R, employ machine learning techniques, and collaborate with cross-functional teams to solve complex problems. Their role may also involve mentoring junior staff and ensuring data quality and security.

What cities in New York are hiring for Senior Computer Data Scientist jobs?

Cities in New York with the most Senior Computer Data Scientist job openings:

Infographic showing various Senior Computer Data Scientist job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Other

Posted 4 days ago


Job description

The Role
We are looking for a Senior Data Scientist to join our Data Strategy & Analytics team and help clients understand the incremental impact of their marketing investments. In this role, you will design and execute rigorous measurement solutions, including incrementality tests, media mix models, and causal analysis. and translate the results into clear, actionable recommendations.
You will partner with Data Strategy, media, client service, and analytics teams to solve complex measurement challenges across channels and funnel stages. You will work directly with large, imperfect marketing datasets, select the right methodology for each business question, and communicate both the findings and their limitations to technical and non-technical audiences.
The ideal candidate has hands-on experience with incrementality testing and media mix modeling, along with a strong understanding of digital and upper-funnel media measurement. You should be comfortable evaluating channels such as CTV, video, audio, OOH, paid social, and other brand investments where last-touch attribution is incomplete. You will also help strengthen our measurement approaches and guide junior & on-level data scientists in sound experimental and modeling practices.
You Will Be
  • Partnering with Data Strategy, media, and client teams to translate business questions into clear, testable measurement plans
  • Designing and analyzing incrementality tests, including geo-based experiments, holdouts, matched-market tests, and other causal inference approaches
  • Building, validating, and interpreting media mix models to estimate channel contribution, efficiency, saturation, and diminishing returns
  • Developing measurement approaches for upper-funnel and brand media, including its direct impact and influence on lower-funnel outcomes
  • Conducting power analyses, test feasibility assessments, sensitivity analyses, and model diagnostics to ensure findings are statistically credible
  • Working with large, multi-source marketing datasets; identifying data quality issues, measurement gaps, and implications for analysis
  • Turning analytical findings into practical recommendations for media planning, optimization, and future testing
  • Applying complementary advanced analytics methods - including predictive modeling, propensity modeling, segmentation, and forecasting - to solve broader client and media strategy questions
  • Guiding and mentoring junior data scientists and contributing to shared measurement standards, code, and best practices
You Must Have
  • Education: Master's degree in Statistics, Economics, Data Science, Computer Science, Engineering, or another quantitative discipline preferred or B.S. + 5 years of relevant experience
  • Strong programming skills in Python, R, & SQL
  • Hands-on experience designing and analyzing incrementality tests, such as geo holdouts, matched-market tests, synthetic controls or holdouts, or randomized experiments
  • Hands-on experience building, validating, and interpreting media mix models
  • A deep understanding of statistical modeling, causal inference, experimental design, and time-series methods
  • Ability to evaluate methodological tradeoffs, challenge weak assumptions, and select approaches appropriate to the available data and business decision
  • Ability to work independently on ambiguous problems while collaborating closely with cross-functional teams
Nice to Have
  • Experience with Bayesian modeling frameworks such as PyMC or similar tools
  • Experience calibrating or validating MMM results with incrementality tests, or integrating multiple measurement methods into a unified recommendation
  • Experience with brand measurement, awareness studies, retail or offline sales data, or multi-outcome/funnel modeling