Note: The job is a remote job and is open to candidates in USA. 2U is a company committed to transforming lives through higher education. The Data Scientist II role involves partnering with various stakeholders to drive insights and decision-making for edX.org, focusing on product analytics, experimentation, and causal inference on large datasets.

Responsibilities

• Serve as the analytics partner for Product, Marketing, and Finance teams on edX.org, delivering funnel, cohort, retention, and segmentation work. Triage a high volume of incoming requests and match the depth of each response to the decision at hand, from back-of-the-envelope estimates to deeper investigations
• Own A/B tests end-to-end, from design and power analysis through interpretation. Where randomization isn't possible, use quasi-experimental methods such as difference-in-differences, propensity scoring, regression discontinuity, and synthetic control
• Establish and maintain north-star, input, and guardrail KPIs. Build scalable dashboards and tooling that reduce the long tail of repeat requests
• Partner with Data Engineering to keep upstream sources trustworthy. Contribute to dbt models, lead EDA on unfamiliar datasets, and add checks that catch quality issues before they reach dashboards or partners
• Use standard ML techniques (classification, regression, clustering) where they accelerate insight beyond what statistical analysis alone can deliver
• Develop a deep understanding of the edX product, learners, and business. Coach partners on statistical concepts, refine ambiguous questions, and turn complex findings into actionable recommendations

Skills

• Bachelor's degree in a quantitative field (data science, statistics, mathematics, computer science, economics, or similar)
• 3–5 years in data science, product analytics, or a related quantitative role
• Able to refine ambiguous questions, translate findings for business partners, and clarify what the results do and don't say
• Solid foundation in hypothesis testing, power analysis, confidence intervals, and multiple comparisons, plus strong EDA and validation skills on unfamiliar data
• Running A/B tests end-to-end, plus quasi-experimental methods where randomization isn't possible (e.g., difference-in-differences, propensity scoring, regression discontinuity, synthetic control)
• Hands-on with platforms like Amplitude, FullStory, or Mixpanel, plus prior work in EdTech, online learning, or a comparable consumer subscription / marketplace product
• Strong Python (pandas, NumPy, scikit-learn) and advanced SQL on large, complex datasets
• Graduate degree preferred
• Prefer experience with modern experimentation platforms (e.g., Statsig, Eppo, Optimizely, LaunchDarkly)
• Prefer exposure to large-scale data platforms (e.g., Snowflake, BigQuery, Databricks, Spark)

Benefits

• Medical, dental, and vision coverage
• Life insurance, disability, and 401(k) employer match
• Free snacks and drinks in-office
• Generous paid holidays and leave policies, including unlimited PTO
• Additional time off benefits include: volunteer days, parental leave, and a company-wide winter break
• Potential bonus eligibility

Company Overview

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