Data Scientist, Measurement & Causal ML (Python/PySpark)
Samba TV
San Francisco (CA)
On-site
USD 150,000 - 180,000
Full time
14 days+
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Benefits offered by this job
Health insurance
Wellness offerings
Retirement savings plan
Paid time off
Job summary
Samba TV in San Francisco is seeking a hands-on Data Scientist to lead complex modeling work for their audience sciences products. The ideal candidate has 5-7 years of experience, expert-level skills in Python, and advanced knowledge of PySpark. Responsibilities include designing measurement models and coding production-quality solutions. The role also emphasizes clear communication of methodologies and mentoring junior team members. The position offers a competitive salary, with benefits that include health insurance and retirement plans.
Qualifications
5–7 years of professional data science experience with delivered models.
Experience in building and optimizing data pipelines on billion-row datasets.
Direct exposure to TV or digital viewership data.
Responsibilities
Write and own production-quality Python code end-to-end.
Design, build, and deploy measurement models and statistical frameworks.
Communicate measurement methodologies and findings clearly.
Skills
Expert-level Python
Advanced PySpark
Statistics and ML
Experimental design
Clear communication
Ownership mindset
Causal ML methods
Multi-touch attribution
Education
Advanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative field
Tools
Databricks
Job description
Samba TV in San Francisco is seeking a hands-on Data Scientist to lead complex modeling work for their audience sciences products. The ideal candidate has 5-7 years of experience, expert-level skills in Python, and advanced knowledge of PySpark. Responsibilities include designing measurement models and coding production-quality solutions. The role also emphasizes clear communication of methodologies and mentoring junior team members. The position offers a competitive salary, with benefits that include health insurance and retirement plans.