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Data Scientist II – partner with Product, Marketing, and Finance stakeholders to drive insight and decision-making for edX.org, 2U’s online learning marketplace.

This is a high-leverage analytics role focused on product analytics, experimentation, and causal inference on large, complex behavioral datasets. We are looking for someone who is excited by ambiguous business problems, can triage a high volume of stakeholder requests and match each one to an appropriate level of rigor, and is skilled at turning messy data into clear, actionable insight.

The ideal candidate is intellectually curious, takes the initiative to understand the domain and refine the question behind the question, and communicates complex findings in ways that educate and enable stakeholders.

• Product analytics and ad hoc analysis – 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.
• Experimentation and causal inference – Own A/B tests end-to-end, from design and power analysis through interpretation. Use quasi-experimental methods where randomization isn’t possible, such as difference-in-differences, propensity scoring, regression discontinuity, and synthetic control.
• Metric definition and self-serve enablement – Establish and maintain north-star, input, and guardrail KPIs. Build scalable dashboards and tooling that reduce the long tail of repeat requests.
• Data modeling and validation – 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.
• Applied machine learning – Use standard ML techniques (classification, regression, clustering) where they accelerate insight beyond what statistical analysis alone can deliver.
• Domain learning and stakeholder education – 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.

• Professional Experience – 3–5 years in data science, product analytics, or a related quantitative role.
• Communication – Able to refine ambiguous questions, translate findings for business partners, and clarify what the results do and don’t say.
• Statistics & data rigor – Solid foundation in hypothesis testing, power analysis, confidence intervals, multiple comparisons, and strong EDA and validation skills on unfamiliar data.
• Experimentation & causal inference – Running A/B tests end-to-end, plus quasi-experimental methods where randomization isn’t possible. Prefer experience with modern experimentation platforms such as Statsig, Eppo, Optimizely, LaunchDarkly.
• Product analytics & domain – Hands‑on with platforms like Amplitude, FullStory, or Mixpanel, plus prior work in EdTech, online learning, or comparable consumer subscription/marketplace product.
• Programming & data – Strong Python (pandas, NumPy, scikit-learn) and advanced SQL on large, complex datasets. Prefer exposure to large‑scale data platforms such as Snowflake, BigQuery, Databricks, Spark.

While this position is open to remote candidates across the U.S., we will prioritize those who live in the Washington‑Baltimore metropolitan area and who are available to come into our Headquarters in Arlington, VA two days a week.

We offer comprehensive benefits and excellent work/life balance. Full‑time, U.S. benefits include:

• 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
• Volunteer days, parental leave, and company‑wide winter break

The anticipated base salary range for this role is ($107,300 – $124,200), with potential bonus eligibility. Salary offers are based on the candidate’s qualifications, experience, skills, and education as they directly relate to the requirements of the position, budget for the position and cost of labor in the market in which the candidate will be hired.

At 2U, we are committed to building and sustaining a culture of belonging, respect, and inclusion. We are proud of the steps we’ve taken to bring together an employee base that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities. We strive to offer a workplace where every employee feels empowered by what makes us different, as well as by how we are alike.

2U is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodations, please reach out to us at recruitingaccommodations@2u.com.

2U is an equal opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable federal, state or local laws. 2U’s equal opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay.