Staff Data Scientist
$156,000–$195,500 year
On-site · Denver, Colorado, United States or Austin, Texas, United States
Job Summary
Staff Data Scientist, Product Analytics embedded with consumer product teams to lead a high-velocity experimentation program from hypothesis to readout. Own the analytical strategy for discovery and conversion across CRO, SEO, MarTech, and homepage/landing experiences; define KPIs, dashboards, and segmentation; build trusted, self-service analytics; and translate findings into actionable narratives for senior leaders. Partner with Data Engineering to improve event instrumentation and data models, mentor junior data scientists, shape the analytics roadmap and OKRs, and influence product decisions that impact millions of learners.
Required Qualifications
- Bachelor’s degree in a relevant technical field, or equivalent practical experience
- 6+ years of hands-on Data Science experience (4+ with a PhD) with significant time spent as an embedded product or growth data scientist in a consumer business
- Expert-level SQL and Python
- Experience with Databricks or a similar cloud data warehouse
- Deep, applied expertise in experimentation: experimental design, power analysis, A/B and multi-arm testing, variance reduction, sequential testing, and familiarity with quasi-experimental and causal inference methods
- Strong product sense and ability to translate ambiguous business questions into structured analyses and crisp recommendations
- Exceptional data storytelling and visualization skills; experience with Tableau a big plus
- Experience building automated data pipelines with tools like Airflow and dbt; experience with GitHub and CI/CD code review processes
- Track record of operating at a Staff level: scoping work across a business area independently, leading cross-functional alignment, defining new metrics and frameworks
- Strong ownership and ability to work autonomously while collaborating across time zones
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