Hybrid Senior Data Scientist — Causal Inference & Metrics

Strava; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Strava is seeking a senior Data Scientist to design measurement strategies and apply experimental methods to quantify business outcomes. You will collaborate with product and marketing to align metrics with company goals, and lead causal analyses to drive strategic decisions.

The role emphasizes producing production-quality Python tools, strong SQL, and the ability to communicate findings to leadership. Hybrid model with on-site days in San Francisco.

Qualifications

• 5+ years in data science or a quantitative domain with measurement strategy ownership.
• Deep causal inference knowledge and awareness of real-world failure modes.
• Strong SQL and Python for statistical data processing and production code.
• Ability to present quantitative findings clearly to diverse partners.

Responsibilities

• Design measurement strategies using experimental and quasi-experimental methods to quantify outcomes.
• Evolve metric strategies linking product development and marketing to results.
• Lead root-cause investigations and develop novel approaches for unstructured problems.
• Serve as domain expert on inference quality across DS, analytics, and cross-functional teams.

Skills

Experience in data science

Causal inference

SQL proficiency

Python for statistics

Communication of quantitative findings

Tools

SQL

Python

Job description

Strava is seeking a senior Data Scientist to design measurement strategies and apply experimental methods to quantify business outcomes. You will collaborate with product and marketing to align metrics with company goals, and lead causal analyses to drive strategic decisions.

The role emphasizes producing production-quality Python tools, strong SQL, and the ability to communicate findings to leadership. Hybrid model with on-site days in San Francisco.