Senior Data Scientist, Causal Inference & Strategy

TOGETHXR; San Francisco, Northern (CA, KY); On-site; USD 170,000 - 230,000; Full time

Job summary

Strava is seeking a Data Scientist to bridge product and marketing, designing measurement strategies and causal models that drive high-leverage outcomes for athletes and the business. You’ll develop novel approaches to measuring impact, establish robust causal frameworks, and help teams align metrics with strategic goals across the company, while thriving in a flexible hybrid SF office environment.

Collaborating with Data Science, Analytics, product, and marketing, you’ll advance measurement

Qualifications

• 5+ years of experience in data science or related quantitative domain with experience owning measurement strategies and employing both experimental and quasi-experimental methods
• Depth in causal inference methods and their real-world failure modes, with the judgment to know when each approach is credible
• Strong SQL proficiency and comfort writing Python for statistical data processing
• Python proficiency, with comfort writing production-quality code for statistical analysis and experiment tooling
• Ability to communicate quantitative findings as a clear narrative to technical and non-technical partners in product, finance, and senior leadership

Responsibilities

• Design measurement strategies for Strava's most complex initiatives, applying experimental and quasi-experimental methods to quantify business outcomes
• Expand Strava’s understanding of the relationship between user experiences and business performance and evolve org-wide metric strategies
• Lead deep root-cause investigations into business and product performance, developing novel approaches for problems that don't have an established playbook
• Serve as a domain expert in inference for the data team horizontally, reviewing measurement designs and raising the bar for causal evidence quality across DS, Analytics, and cross-functional partners

Skills

SQL

Python

Causal inference

Experimental methods

Measurement strategy

Data analysis

Job description

Strava is seeking a Data Scientist to bridge product and marketing, designing measurement strategies and causal models that drive high-leverage outcomes for athletes and the business. You’ll develop novel approaches to measuring impact, establish robust causal frameworks, and help teams align metrics with strategic goals across the company, while thriving in a flexible hybrid SF office environment.

Collaborating with Data Science, Analytics, product, and marketing, you’ll advance measurement