Data Scientist interview questions in 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.

62 live listings right now.

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Career guide · interview

Live Data Scientist jobs in San Francisco

62 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. millions12 posts
  2. analytics10 posts
  3. ai18 posts
  4. platform21 posts
  5. science6 posts
  6. understanding7 posts
  7. product12 posts
  8. research9 posts
  9. staff9 posts
  10. products10 posts
  11. intelligence7 posts
  12. decision5 posts
  13. combining3 posts
  14. infrastructure8 posts
  15. creating5 posts
  16. economy4 posts
  17. strategy5 posts
  18. applied4 posts
  19. operate4 posts
  20. risk5 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. LYFT4 open jobs
  5. Mercury3 open jobs
  6. Baseten2 open jobs
  7. DoorDash USA2 open jobs
  8. Mercor2 open jobs
  9. Middesk2 open jobs
  10. Airwallex1 open job

Advertised pay

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

$160,000 to $515,000 a year, median $307,500.

What interviewers will test 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.

  • Screening
  • Stories
  • Practice
  • 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

Prepare six evidence-backed stories, then practice role-specific questions before applying to high-value openings.
  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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