[Remote] Data Scientist II

Note: The job is a remote job and is reputed company to candidates in USA. reputed company 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 reputed company 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 reputed company-star, input, and guardrail KPIs. Build scalable dashboards and tooling that reduce the long tail of repeat requests
• Partner with Data Engineering to reputed company upstream sources trustworthy. Contribute to dbt models, reputed company EDA on unfamiliar datasets, and add checks that catch quality issues before they reputed company dashboards or partners
• Use standard ML techniques (classification, regression, clustering) where they accelerate reputed company reputed company what statistical analysis alone can deliver
• reputed company a deep understanding of the edX product, learners, and business. Coach partners on statistical concepts, refine ambiguous questions, and turn reputed company 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 reputed company quantitative role
• reputed company to refine ambiguous questions, translate findings for business partners, and clarify what the results do and don't say
• Solid reputed company 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 reputed company, reputed company, or reputed company, 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, reputed company datasets
• Graduate degree preferred
• Prefer experience with modern experimentation platforms (e.g., Statsig, Eppo, reputed company, reputed company)
• Prefer exposure to large-scale data platforms (e.g., reputed company, BigQuery, reputed company, Spark)

Benefits

• Medical, dental, and reputed company 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

Company H1B Sponsorship