15 часов назад
Data Scientist II
107 300 - 124 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist II (Product Analytics and Causal Inference): Driving product analytics, experimentation, and decision-making for the edX.org online learning marketplace with an accent on funnel analysis, KPI development, and rigorous statistical methods. Focus on designing A/B tests, applying quasi-experimental techniques, modeling complex behavioral datasets, and building reliable self-serve data tools.
Location: Remote across the U.S.; candidates in the Washington-Baltimore metropolitan area are prioritized, with availability to work from the Arlington headquarters two days per week.
Base salary: $107,300–$124,200 per year, with potential bonus eligibility.
Company
partners with universities and companies to deliver online education programs and operates edX, a global online learning platform.
What you will do
- Partner with Product, Marketing, and Finance on funnel, cohort, retention, segmentation, and ad hoc analyses for edX.org.
- Own A/B tests end-to-end, including experimental design, power analysis, and interpretation.
- Apply quasi-experimental methods such as difference-in-differences, propensity scoring, regression discontinuity, and synthetic control.
- Define and maintain north-star, input, and guardrail KPIs, and build scalable dashboards and self-serve tooling.
- Partner with Data Engineering on dbt models, exploratory analysis, data validation, and quality checks.
- Use classification, regression, and clustering to generate actionable insights and educate business stakeholders.
Requirements
- Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a related quantitative field; a graduate degree is preferred.
- 3–5 years of experience in data science, product analytics, or a related quantitative role.
- Strong foundation in hypothesis testing, power analysis, confidence intervals, multiple comparisons, exploratory analysis, and data validation.
- Experience running A/B tests and applying causal inference methods.
- Strong Python with pandas, NumPy, and scikit-learn, plus advanced SQL on large, complex datasets.
- Hands-on experience with product analytics platforms such as Amplitude, FullStory, or Mixpanel, and experience with online learning, consumer subscription, or marketplace products.
Nice to have
- Experience with Statsig, Eppo, Optimizely, or LaunchDarkly.
- Exposure to Snowflake, BigQuery, Databricks, or Spark.
- Graduate degree in a quantitative field.
Culture & Benefits
- Inclusive environment focused on expanding access to higher education.
- Medical, dental, and vision coverage, life insurance, disability coverage, and a 401(k) employer match.
- Unlimited PTO, generous paid holidays and leave, volunteer days, parental leave, and a company-wide winter break.
- Work/life balance and in-office snacks and drinks.
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