Data Scientist, Business & Product
Core
Own end-to-end user learning including testing roadmaps, analytics instrumentation, data pipelines, KPI reporting, and thought-leadership publications.
Role type
Senior IC data scientist (product analytics & experimentation)
Builds
Company-wide testing roadmaps, analytics instrumentation, data pipelines, KPI reporting, and thought-leadership publications
Domain
Gaming platform (Medal) / Product analytics & experimentation
Deliverable
dashboards & analysis
Required skills
Experimental design, causal inference, regression analysis, SQL, Python, R, event-level data analysis, data warehouse tooling, product analytics platforms, statistical analysis
Preferred skills
Bayesian methods, qualitative UX research, AI tools for productivity
Technologies
BigQuery, Snowflake, Airflow, Amplitude, Tableau
Responsibilities
Design and analyze experiments end-to-end; configure test structures and manage multi-test pipelines; build strategy for analytics instrumentation and KPI reporting; hunt for data opportunities to inform strategy; communicate data insights with confidence intervals and effect sizes; inform pricing quant analysis; contribute to industry and brand thought leadership; support cross-functional business and product decisions
Seniority
Mid-level, hands-on IC
