Senior Data Scientist, Causal Inference & Measurement

Apply; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Strava is seeking a senior Data Scientist to design and deploy measurement strategies for its most impactful initiatives. You will apply experimental and quasi-experimental methods to quantify business outcomes and strengthen the link between product development, marketing, and performance metrics.

You will advance industry-standard causal inference frameworks, collaborate across DS, Analytics, and product teams, and communicate insights clearly to leadership.

Qualifications

• 5+ years of data science or related quantitative discipline with measurement strategies and experimental methods.
• Deep knowledge of causal inference and real-world failure modes.
• Strong SQL proficiency and ability to write Python for statistical data processing.
• Python proficiency with production-quality code for analysis and experimentation tooling.
• Ability to communicate quantitative findings clearly to technical and non-technical partners.

Responsibilities

• Design measurement strategies for complex initiatives using experimental and quasi-experimental methods (geo testing, DiD, IV, synthetic control) to quantify outcomes.
• Expand understanding of user experiences vs. business performance and evolve organization-wide metric strategies tying product and marketing to results.
• Lead deep root-cause investigations into business and product performance with novel approaches where no playbook exists.
• Serve as a domain expert in inference, elevating causal evidence quality across DS, Analytics and cross-functional partners.

Skills

Measurement strategies

Causal inference

SQL

Python for statistics

Communication of findings

Job description

Strava is seeking a senior Data Scientist to design and deploy measurement strategies for its most impactful initiatives. You will apply experimental and quasi-experimental methods to quantify business outcomes and strengthen the link between product development, marketing, and performance metrics.

You will advance industry-standard causal inference frameworks, collaborate across DS, Analytics, and product teams, and communicate insights clearly to leadership.