Senior Data Scientist: Production ML & Attribution

Samba

San Francisco (CA)

On-site

USD 150,000 - 185,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Retirement savings plan
Paid time off

Job summary

A leading tech company in San Francisco is seeking an experienced Data Scientist to own complex modeling work in their measurement and audience sciences products. The ideal candidate will possess 5-7 years of data science experience, proficient in Python and PySpark, and have a strong understanding of statistical methods. Roles include designing measurement models and mentoring junior staff. The position offers a competitive salary range of $150,000 to $185,000, alongside significant benefits including health insurance and retirement plans.

Qualifications

  • 5-7 years of professional data science experience with measurable results.
  • Hands-on experience with uplift modeling and causal inference methods.
  • Fluent in the full ML lifecycle including feature engineering and model evaluation.

Responsibilities

  • Write and own production-quality Python code end-to-end.
  • Design, build, and deploy measurement models for campaign analysis.
  • Lead technical design reviews and mentor junior Data Scientists.

Skills

Expert-level Python
Advanced PySpark
Strong ownership mindset
Statistical reasoning
Causal ML methods

Education

Advanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or related field

Tools

Databricks

Job description

A leading tech company in San Francisco is seeking an experienced Data Scientist to own complex modeling work in their measurement and audience sciences products. The ideal candidate will possess 5-7 years of data science experience, proficient in Python and PySpark, and have a strong understanding of statistical methods. Roles include designing measurement models and mentoring junior staff. The position offers a competitive salary range of $150,000 to $185,000, alongside significant benefits including health insurance and retirement plans.
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