Data Scientist learning roadmap for San Francisco

If you are applying for Data Scientist roles in San Francisco, the hard part is not finding one listing. The hard part is making each application look specific enough to pass the recruiter screen and the ATS scan.

97 live listings right now.

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Career guide · roadmap

Live Data Scientist jobs in San Francisco

97 open listings match Data Scientist in San Francisco right now. The newest:

Skills employers ask for

Terms that keep coming up in the newest Data Scientist listings in San Francisco, and how many listings use each.
  1. come11 posts
  2. millions16 posts
  3. platform32 posts
  4. everyone13 posts
  5. bring12 posts
  6. product21 posts
  7. analytics12 posts
  8. staff15 posts
  9. life11 posts
  10. measurement5 posts
  11. research10 posts
  12. products15 posts
  13. understanding7 posts
  14. combining6 posts
  15. domain6 posts
  16. economy6 posts
  17. building16 posts
  18. marketplace5 posts
  19. pricing4 posts
  20. science6 posts

Who's hiring

Employers with the most open Data Scientist listings in San Francisco.
  1. Openai15 open jobs
  2. Pinterest8 open jobs
  3. Google6 open jobs
  4. Databricks4 open jobs
  5. LYFT3 open jobs
  6. Mercury3 open jobs
  7. Baseten2 open jobs
  8. DoorDash USA2 open jobs
  9. Handshake2 open jobs
  10. Harvey2 open jobs

Advertised pay

From listings that state pay. Many don't, so treat it as a range, not a promise.

$135,000 to $515,000 a year, median $235,000.

What recruiters will check first in San Francisco

Recruiters scan for role fit, recent proof, and keywords. For Data Scientist, your resume should show the tools you used, the data you worked with, the question or pipeline you owned, and the result. A vague analysis line does not help. A specific line with data volume, accuracy, time saved, revenue, cost, or decisions it changed works much better.

Check this before sending another application.

  • ATS fit
  • Market proof
  • Interview prep
  • Put the exact job title and adjacent titles in your summary.
  • Mirror the top skills from the job description naturally.
  • Use 3 to 5 achievement bullets that show measurable outcomes.
  • Keep formatting simple so ATS software can parse every section.

Resume keywords for Data Scientist

Do not stuff keywords. Put them where they belong: skills, project bullets, work experience, and certifications. For Data Scientist jobs in San Francisco, start with these clusters.

Core skills

SQL, Python, BI tools, statistics, data modeling, pipelines, and data quality checks

Business impact

cost, revenue, time saved, accuracy, forecast error, or decisions changed

Collaboration

stakeholders, product, engineering, finance, operations, or leadership

Proof

dashboards, notebooks, models, pipelines, analysis write-ups, or labeling accuracy

A practical application plan

Group repeated skills, rewrite your resume for the market, and apply only after the job match is clear.
  1. Pick 10 active Data Scientist listings in San Francisco and save the job descriptions.
  2. Group repeated skills and phrases. Those are your ATS keywords.
  3. Rewrite your resume summary for this exact market and role.
  4. Run the resume and JD through the JobRise ATS checker.
  5. Only apply after your resume clearly matches the must-have requirements.

More Data Scientist guides for San Francisco

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Before you apply

Paste the job description into JobRise, check the ATS score, then fix the missing keywords before you send the application. One focused application beats ten generic ones.
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