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Full Time Data Science Jobs in New York (NOW HIRING)

Minimum qualifications: * 3 - 5 years of previous full-time work experience as a product-focused data scientist or similar role. * Graduated from or currently enrolled at a top-tier university ...

Data Engineer

New York, NY

$125K - $150K/yr

You'll be mentored by full-time Data Engineers and learn about business context from data users ... About You We don't expect you to have a background in computer science, data engineering, finance ...

Data scientist Duration: Full-time with benefits+ Bonus Location: Penn Plaza, Newark, NJ Direct client: Immediate interview The Data Scientist will work closely with the data science lead, other ...

Sr. Data Scientist

New York, NY · On-site

$162K - $175K/yr

You'll sit within our Data Science Pricing team, working closely with Actuarial and Insurance ... Lemonade's US base salary range for this full-time position is $162,000 - $175,500 plus equity ...

Provide technical and thought leadership in the Marketing Data Science and Advanced Analytics ... Some benefits of working at Warby Parker for full-time employees: * Health, vision, and dental ...

Provide technical and thought leadership in the Marketing Data Science and Advanced Analytics ... Some benefits of working at Warby Parker for full-time employees: * Health, vision, and dental ...

Data Scientist

New York, NY · On-site +1

$109K - $173K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics ... This pay range represents the base hourly rate or base annual full-time salary for all positions in ...

Senior Data Science Partner

New York, NY · On-site

$115K - $141K/yr

Minimum 5 years of full-time, analytics-relevant experience * Bachelor's degree or equivalent ... Skilled in data storytelling and crafting impactful presentations for both technical and non ...

Showing results 41-60

Full Time Data Science information

What is the difference between Full Time Data Science vs Data Analyst?

AspectFull Time Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Business, or related fields
Work EnvironmentCollaborative teams, often in tech, finance, or healthcare industriesBusiness units, marketing, or operations teams
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and consulting firms
Common Search & ComparisonFull Time Data Science vs Data Analyst

Full Time Data Science roles typically require advanced technical skills and focus on building predictive models and algorithms, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are essential in data-driven organizations but differ in scope and technical depth.

What are the most commonly searched types of Data Science jobs in New York?

The most popular types of Data Science jobs in New York are:

Infographic showing various Full Time Data Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist / Researcher

HOF Capital

Manhattan, NY • On-site

Full-time

Re-posted 17 days ago


Job description

HOF Capital is a global multi-stage venture capital (VC) firm that partners with the world's best founders and helps them build generational category-defining technology companies. Since launching its first fund in 2016, HOF Capital has achieved top-tier performance and invested in some of the most successful technology startups of the past decade (e.g., SpaceX, Anthropic, OpenAI, Neuralink, xAI, etc.), enabling HOF Capital to grow rapidly to $10B+ of assets under management (AUM) and making HOF Capital one of the fastest-growing VC firms in history.

Due to this rapid growth, HOF Capital is seeking a world-class data scientist to join its team. This Data Scientist / Researcher will collaborate closely with other HOF Capital team members to provide the firm and its portfolio companies with important data-driven insights and to produce high-quality research content that will help drive HOF Capital’s impact on the broader tech industry.

Responsibilities:

  • Assist with investment sourcing by: (1) building data pipelines and machine learning models that enable the scalable evaluation & monitoring of millions of tech companies, tech products, open-source frameworks, and tech talent, in order to identify the most promising ones; and (2) conducting data-driven research & analyses on future market opportunities, in order to identify the most promising ones.
  • Assist with investment due diligence by: (1) collecting the data needed for accurate market & competitive analyses; (2) using raw data dumps from prospective portfolio companies to independently calculate important metrics; and (3) contributing to the technical / product, customer, & competitive due diligence for any investment opportunities related to data science and related fields.
  • Assisting with portfolio company value-add by: (1) maintaining a centralized database of important metrics for each portfolio company; (2) providing portfolio companies with benchmark data to help them identify opportunities for improvement; and (3) advising earlier-stage portfolio companies on the build-out of their data tech stack and data-driven culture.
  • Assisting with thought leadership by authoring high-quality data-driven research content that positions HOF Capital as a thought leader in the tech industry.

Minimum qualifications:

  • 3 – 5 years of previous full-time work experience as a product-focused data scientist or similar role.
  • Graduated from or currently enrolled at a top-tier university, ideally with a degree or major related to data science.
  • Strong English writing & communication skills.
  • Excellent professional & academic performance.
  • Independent thinker with outstanding intellectual & analytical aptitude.
  • Extremely capable, disciplined, responsible, hard-working, detail-oriented, conscientious, and self-motivated.
  • Team player with no ego.
  • Innate desire to become the best in the world at this role.
  • Genuine passion for finding and supporting technology startups that have the potential to become generational category-defining companies.

The ideal candidate should be excited to:

  • Have a real impact on the world by applying data science to VC and tech startups (many of which will be among the world’s most important companies in the long term).
  • Play an important multi-faceted role in HOF Capital’s investment process.
  • Help drive HOF Capital’s impact on the broader tech industry through the production of high-quality data-driven research content.
  • Develop expertise in the technologies & business models within HOF Capital’s areas of interest (e.g., AI, enterprise software, deep tech, etc.).
  • Do whatever it takes to help HOF Capital and its portfolio companies become leaders in their respective markets.

Compensation:

  • Competitive salary + bonus + benefits.

HOF Capital is a global multi-stage venture capital (VC) firm that partners with the world's best founders and helps them build generational category-defining technology companies. Since launching its first fund in 2016, the firm has invested in some of the most successful technology startups of the past decade (e.g., SpaceX, Anthropic, OpenAI, Neuralink, xAI, etc.) and achieved top-tier investment performance throughout its history, which has enabled the firm to grow rapidly to $10B+ of assets under management (AUM).