Data Scientist II
Core
Partner with Product, Marketing, and Finance to drive insight and decision-making for edX.org, focusing on product analytics, experimentation, and causal inference on large behavioral datasets.
Role type
Mid-level IC product data scientist (analytics & experimentation)
Builds
Actionable insights, dashboards, and statistical rigor for the open online learning marketplace
Domain
EdTech / Online Higher Education
Deliverable
dashboards & analysis
Required skills
Product analytics, A/B testing design, causal inference methods, Python (pandas, NumPy, scikit-learn), advanced SQL, EDA, hypothesis testing, metric definition
Preferred skills
Quasi-experimental methods (difference-in-differences, propensity scoring), experimentation platforms (Statsig, Eppo), Amplitude/Mixpanel, dbt, large-scale data platforms (Snowflake, Spark)
Technologies
Python, SQL, dbt, Snowflake, BigQuery, Databricks, Spark, Statsig, Eppo, Optimizely, LaunchDarkly, Amplitude, FullStory, Mixpanel
Responsibilities
Deliver funnel, cohort, retention, and segmentation analysis; own A/B tests end-to-end; establish and maintain north-star KPIs; partner with Data Engineering to validate upstream sources; apply standard ML techniques to accelerate insight; coach stakeholders on statistical concepts and refine ambiguous questions
Seniority
Mid-level, hands-on IC
