Data Scientist Jobs in San Francisco, USA

Looking for a data scientist job in San Francisco? Choose from 78 open roles at 31 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

78 Open roles
31 Companies hiring
307K Average salary

What do Data scientists in San Francisco work on?

The titles and summaries point to two broad clusters of work. One is product and analytics-focused: defining metrics, designing A/B experiments, analysing clickstream or user-behaviour data, and communicating findings to product and engineering partners. The Product Data Scientist at Baseten is a clear example, centring on experiment design and forecasting at an AI infrastructure company. The Staff Data Scientist, Notifications at Pinterest adds mentoring and ML recommendation work to that mix.

The other cluster leans toward modelling and systems: building and deploying machine learning models for ads ranking, bidding, and targeting at scale, as seen in the Staff Data Scientist, Ads Delivery role at Pinterest and the Senior Data Scientist at Mastercard. Google's Senior Data Scientist for GeminiApp, DeepMind blends both approaches, combining statistical modelling with executive-level stakeholder communication. Across most postings, cross-functional collaboration with product, engineering, and UX is a consistent thread.

Skills and experience employers ask for

SQL and Python appear in the large majority of these postings, and statistical knowledge and A/B testing are mentioned in well over half, making them the clearest common thread across the full set of 80. A PhD is mentioned in roughly a third of postings, and a Master's degree in rather fewer, though mentions in a description do not necessarily mean either is required. LLMs and model evaluation appear in a meaningful minority, reflecting the concentration of AI-lab employers in this sample.

SQL 87%
Python 83%
Statistics 69%
A/B testing 63%
LLMs 29%
PhD 29%
Evaluation 27%
Master's degree 22%
Spark 21%
Agents 15%
APIs 12%
Snowflake 9%
Airflow 8%
AWS 5%

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.

San Francisco office, hybrid or remote?

Most postings on this page specify onsite or hybrid arrangements, with fully remote roles forming a smaller portion. The onsite and hybrid split suggests that in-office presence is the norm across these employers rather than the exception. None of the postings were missing work-mode information, so the picture here is reasonably clear, though the exact hybrid cadence — how many days per week, for instance — is not stated in all cases and would need confirming with individual employers.

Make your application specific to the work

  1. Check the work-mode requirement Before applying, confirm whether the role is listed as onsite, hybrid, or remote, since most postings on this page require some in-office presence and that detail is stated at posting level rather than employer level.
  2. Match your seniority level Many postings are at senior or staff level, with experience requirements ranging from five to ten or more years; read the specific years-of-experience language carefully, as titles like 'Staff' often carry distinct scope expectations beyond 'Senior'.
  3. Prepare SQL, Python, and stats evidence These three skills appear across the great majority of postings in this sample, so having concrete examples of query writing, scripting, and statistical analysis ready — ideally tied to experiment design or modelling work — will be relevant for most applications here.
  4. Clarify degree and sponsorship status A PhD or Master's degree is mentioned in a notable share of postings but not universally, and visa sponsorship eligibility is not stated in the fact pack for any employer, so both points should be confirmed directly in each job description or with the recruiter.

Questions about Data Scientist jobs in San Francisco

Pay ranges are advertised in a minority of postings on this page, and all of the visible ranges come from OpenAI. They span widely within individual postings — for example, the Data Scientist, Identity role shows a range of 293,000 to 515,000 USD, while the Product Data Scientist at Baseten and roles at other employers do not have advertised ranges. These figures are specific to those postings and should not be read as representative of all employers in the sample.

A PhD is mentioned in roughly a third of postings in this sample, but skills mentions in a description do not confirm it as a strict requirement in every case. Some postings explicitly offer equivalent experience as an alternative. You should read each posting's qualifications section to understand whether a doctorate is required, preferred, or simply listed as context.

The employers represented in these postings include OpenAI, Waymo, Pinterest, Anthropic, Databricks, Lyft, Baseten, and Google, among others. OpenAI, Waymo, and Pinterest account for the largest shares of postings on this page.

A minority of postings on this page are listed as fully remote. The majority are either onsite or hybrid, so candidates who need a fully remote arrangement should filter carefully, as it is not the dominant pattern here.

Lead and senior levels make up a large combined share of postings where seniority is stated, with a meaningful portion having no explicit seniority label. Intern and manager-level postings each appear in only a small number of cases. The sample skews toward experienced hires rather than entry-level.

Jobs checked 4 hours ago. · Guide reviewed 9 September 2026.