Data Scientist Jobs in New York

Looking for a data scientist job in New York? Choose from 54 open roles at 25 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

54 Open roles
25 Companies hiring
Average salary

What do Data scientists in New York work on?

The roles on this page span a wide band of specialisms. At the applied end, positions such as the Capital One fraud authentication role and the business cards and payments role focus on building machine learning models against large transactional datasets, working through the full lifecycle from design to production. The Formation Bio portfolio optimisation role sits closer to quantitative research, requiring risk framework design and backtesting of AI-driven drug development strategies. On the research side, the Google Meridian AI role involves embedding Bayesian and econometric methods into LLM workflows. The Graphite posting is more data-engineering-oriented, centred on pipelines, data modelling, and statistical analysis. Across the sample, common threads include Python-based modelling, SQL querying, experimentation, and collaboration with product or engineering teams.

Skills and experience employers ask for

These counts reflect how often a term appears in posting descriptions across all postings on this page, not a formal requirement list. Python and SQL appear in the large majority of postings, with statistics close behind. PhD and Master's degree mentions are notably frequent, though whether a credential is required or preferred varies by posting and should be checked individually. LLMs, Spark, and PyTorch appear in a meaningful minority, signalling that AI and big-data tooling feature in many but not all of these roles.

Python 83%
SQL 70%
Statistics 67%
PhD 50%
A/B testing 37%
Master's degree 37%
Evaluation 35%
Spark 35%
LLMs 30%
AWS 22%
PyTorch 20%
Snowflake 17%
Reinforcement learning 15%
APIs 15%

Data Scientist roles that state a salary

The employers' own advertised ranges, for individual roles at different levels — not an average and not a market rate.

New York office, hybrid or remote?

Most postings on this page are listed as on-site, meaning physical attendance is expected. A small number are stated as hybrid, and only a handful are listed as fully remote. No postings have an unknown work mode. Candidates seeking flexibility should check each posting carefully, as the same employer can have both on-site and hybrid positions listed. Some postings, such as the Capital One roles, mention multiple office locations, so the city-specific arrangement should be confirmed with the employer directly.

Make your application specific to the work

  1. Read the posting carefully Many of these roles list degree or experience combinations as eligibility criteria; the Capital One postings, for example, state several alternative qualification paths. Understand which path applies to you before applying.
  2. Prepare your technical evidence Python, SQL, and statistics appear across most postings, so be ready to demonstrate concrete work involving these — through a portfolio, code samples, or specific project descriptions in your application materials.
  3. Match your seniority level The postings cover a broad range from intern to director level; applying to a role whose seniority matches your actual experience will make your application more competitive and the interview process more straightforward.
  4. Check pay and location terms Only two postings on this page advertise a salary range, and work-mode terms vary; confirm compensation expectations and in-office requirements directly with the employer before or during the application process.

Questions about Data Scientist jobs in New York

PhD is mentioned in a large number of the postings on this page, but its weight varies — some roles list it as one option among several (alongside a bachelor's or master's with relevant experience), while others appear to expect it. Check the specific posting rather than treating PhD as a blanket requirement.

The employers with the most postings on this page are Formation Bio, Capital One, Anthropic, Amazon, Lyft, Point72, impact.com, and Zocdoc, alongside other employers not listed individually here.

Only two postings on this page state a pay range: Ramp lists 137,120–297,330 and Legora lists 169,150–228,850 for a senior product data scientist. These are advertised ranges from individual postings only and cannot be taken as representative of the broader market.

A small number of postings are listed as hybrid and a handful as fully remote. The majority are listed as on-site. Work mode is stated for all postings on this page, so check the individual listing for the arrangement that applies to each role.

Python and SQL are the most widely mentioned skills across these postings. Statistics, A/B testing, and Spark appear in a substantial minority. Tools such as AWS, PyTorch, Snowflake, and LLM-related frameworks appear less frequently, often in more specialised roles.

Jobs checked 1 day ago. · Guide reviewed 9 September 2026.