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

Compass

Senior Lead Data Scientist

New York, NY · On-site

$204K - $226K/yr

Master's degree or PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) with 8+ years of professional data science experience. * Deep expertise in multiple complex ...

Roku

Senior Data Scientist

New York, NY · On-site

$127K - $170K/yr

Roku is seeking a Senior Data Scientist to join the Core Analytics team and support the user setup ... Computer Science * 5+ years of professional experience in data science, analytics, or a related ...

Oscar Health

Senior Data Scientist

New York, NY · On-site

$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 ...

Digital Turbine

Senior Data Scientist

New York, NY · On-site

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 ...

Lemonade, Inc.

Sr. Data Scientist

Manhattan, NY · On-site

$162 - $176/hr

... Senior AI Data Scientist to help push Lemonade's pricing models into genuinely new territory. You ... D. in Data Science, Statistics, Computer Science, or a related quantitative field preferred-- or a ...

Oscar Health

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 ...

Lemonade

Sr. Data Scientist

New York, NY · On-site

$162K - $175K/yr

... Senior AI Data Scientist to help push Lemonade's pricing models into genuinely new territory. You ... D. in Data Science, Statistics, Computer Science, or a related quantitative field preferred- or a ...

Digitalturbine

Senior Data Scientist

New York, NY · On-site

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 ...

Berkley

Senior Data Scientist

Jersey City, NJ · On-site

Responsibilities We are seeking an exceptional Senior Data Scientist who is part deep technologist ... Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a ...

Berkley

Senior Data Scientist

Jersey City, NJ · On-site

Responsibilities We are seeking an exceptional Senior Data Scientist who is part deep technologist ... Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a ...

Berkley

Senior Data Scientist

Jersey City, NJ · On-site

We are seeking an exceptional Senior Data Scientist who is part deep technologist, part ... Education * Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science ...

NBCUniversal

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

We are seeking a Senior Data Scientist with experience manipulating large 2D and 3D media datasets ... Familiarity with data visualization and inspection tools specifically designed for computer vision ...

NBCUniversal

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

We are seeking a Senior Data Scientist with experience manipulating large 2D and 3D media datasets ... Familiarity with data visualization and inspection tools specifically designed for computer vision ...

NBCUniversal

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

We are seeking a Senior Data Scientist with experience manipulating large 2D and 3D media datasets ... Familiarity with data visualization and inspection tools specifically designed for computer vision ...

Justworks

Senior Data Scientist

New York, NY

Justworks is looking for a Senior Data Scientist to join our Product Analytics group within the Data & Analytics team. You'll partner across Product, Engineering, Design, Finance, Marketing, and ...

KPMG US

Data Scientist- Senior Associate

Montvale, NJ · On-site

$61K - $62K/yr

They are seeking a Senior Associate Data Scientist to join their Audit Technology Alliance ... computer science, data science, statistics, or a related technical field is preferred Company

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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:

Senior Computer Data Scientist jobs near you
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.

Senior Data Scientist (US)

Lynx Analytics

New York, NY • On-site

Full-time

Posted 18 days ago

Key responsibilities

  • Design and deliver end-to-end data science solutions combining classical modelling, data transformation, and Generative AI / LLM techniques.

  • Work with large datasets across different systems to perform data ingestion, transformation, modelling, and validation.

  • Present results to stakeholders, including C-level audiences, and guide junior team members in data science workstreams.

Job description

ROLE SUMMARY
We are looking for a Senior Data Scientist to lead complex data science engagements that combine traditional statistical modelling with Generative AI. You will work hands-on with very large datasets across disparate systems and formats, translate ambiguous business problems into rigorous analytical solutions, and present those solutions clearly to C-level stakeholders. This is a delivery-first role with a fast track into technical leadership: alongside your own project work, you will help guide junior data scientists and shape how Lynx builds and ships data science solutions.
KEY RESPONSIBILITIES
Solution Design & Delivery
  • Design and deliver end-to-end solutions for defined data science problems, combining classical modelling, data transformation, and Generative AI / LLM techniques.
  • Work hands-on with very large datasets across disparate stores and formats, from ingestion and transformation through to modelling and validation.
  • Apply statistical and machine learning methods to business problems such as customer retention, campaign management, and commercial performance optimisation.

Client Communication & Leadership
  • Present results and prepare client-ready materials for project stakeholders, including C-level audiences, translating technical work into clear business narratives.
  • Lead smaller data science workstreams, with support from internal leadership and the PMO, including day-to-day guidance for junior team members.
  • Partner with delivery and account teams to scope problems, set realistic timelines, and manage stakeholder expectations.

Knowledge Building
  • Create reusable documentation, presentations, and code libraries during projects so future engagements can build on prior work.
  • Participate in internal education, research, and knowledge-sharing initiatives that raise the technical bar across the practice.

SKILLS, QUALIFICATIONS AND EXPERIENCE
  • 8+ years of overall experience in data science, with a track record of leading analytical workstreams independently.
  • Degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field; MSc or PhD preferred.
  • Solid grounding in probability theory, statistics, and core data science algorithms, with applied experience in areas such as customer retention and campaign management.
  • Strong hands-on proficiency in Python for data analysis, modelling (PyTorch, TensorFlow, or JAX), and productionising code.
  • Strong SQL, and comfort working across common data stores (relational, columnar/warehouse, and vector databases).
  • Git and GitHub proficiency, including branching workflows and code review; experience with GitHub Actions (or equivalent CI/CD) preferred.
  • Hands-on experience designing and building agentic LLM applications - tool calling, multi-step orchestration, and state management - using at least one modern framework (e.g., LangGraph, Pydantic AI, AWS Bedrock AgentCore, Google ADK, or the OpenAI Agents SDK), beyond simple prompt-and-response use of LLM APIs.
  • Preferred: practical depth in one or more of MCP-based tool integration, RAG and embedding pipelines (including vector stores), model fine-tuning and RL-based post-training, and LLM guardrails and evaluation (e.g., Ragas, DeepEval, Langfuse, or similar).
  • Experience with at least one major cloud platform (AWS, GCP, or Azure); Docker and basic containerised deployment preferred.
  • Comfortable working with very large, complex datasets residing in different data stores and formats.
  • Excellent verbal and written communication skills, with strong data visualisation ability and experience presenting to senior, non-technical stakeholders.
  • Demonstrated leadership potential and the presence to guide junior team members and represent the company with clients.
  • Nice to have:
    • Software engineering hygiene (preferred): typed Python (Pydantic), testing with pytest, packaging, and dependency management (uv).
    • Experience shipping LLM applications to production, including observability and cost/latency management (e.g., Langfuse, Phoenix, or similar LLMOps tooling).
    • Experience in the life sciences industry is preferred.

KEY COMPETENCIES
  • Executive Communication: Translates complex Data Science solutions into plain language for C-level and non-technical stakeholders.
  • Technical Depth: Brings rigorous statistical and modelling judgement, paired with fluency in modern GenAI/LLM approaches.
  • Discretion & Integrity: Handles sensitive client and internal information with professionalism and sound judgement.
  • Leadership & Charisma: Guides junior colleagues day to day, even without a formal management title, and takes pride in their growth.
  • Collaboration: A team player who builds strong working relationships across delivery teams, PMO, and clients.

WHY YOU WILL LOVE IT HERE
  • Work on real-world AI and advanced analytics solutions with measurable business impact.
  • Collaborate with a global team of engineers and data scientists.
  • Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.
  • A collaborative culture that values real outcomes.
  • High ownership, zero micromanagement.
  • Rapid learning opportunities and diverse challenges.
  • Flat organisational hierarchy with high visibility and accessibility to our leaders.

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