1 день назад
Senior Research Data Scientist (AI)
217 000 - 303 200$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Research Data Scientist (AI): Building and productionizing a causal inference platform for measuring the incremental impact of customer actions, product features, and business interventions across Roku's streaming platform with an accent on observational methods, long-term outcome modeling, and terabyte-scale data. Focus on designing estimators, validating causal estimates, creating AI-driven counterfactual scenarios, and translating econometric findings into growth, retention, and monetization decisions.
Location: New York, United States; hybrid schedule with office work generally required Monday through Thursday and flexible remote work on Fridays
Salary: $217,000–$303,200 annual base salary for New York
Company
is a public TV streaming platform connecting consumers, content publishers, and advertisers through streaming technology and data-driven products.
What you will do
- Design, build, and productionize a causal inference platform for measuring the incremental impact of customer actions and business decisions.
- Research and implement causal estimation methods, including heterogeneous treatment effects, propensity score matching, Double Machine Learning, doubly robust estimation, instrumental variables, and difference-in-differences.
- Build long-term outcome frameworks that project impact from limited observation windows.
- Develop diagnostic and validation standards for reliable causal estimates at scale.
- Use AI to create counterfactual scenarios and tools that help users interpret and apply causal estimates.
- Partner with Data Engineering, Product Management, and Core Analytics to define causal problems and deploy production-ready solutions.
Requirements
- PhD in Economics, Econometrics, Statistics, or a closely related quantitative field with a strong emphasis on causal inference.
- 10+ years of experience applying causal inference and machine learning methods to real-world problems with measurable impact.
- Experience building reusable causal inference tools or platforms beyond one-off analyses.
- Proficiency with Spark, Ray, SQL, Python, scikit-learn, XGBoost, and LightGBM.
- Experience working with terabyte- or petabyte-scale datasets in distributed computing environments.
- Strong communication skills for translating econometric findings into business recommendations.
Nice to have
- Technology industry experience.
- Connected TV, streaming, or advertising experience.
Culture & Benefits
- Collaborative, fast-paced environment focused on practical innovation and measurable customer impact.
- Health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
- Access to mental health and financial wellness support.
- Local benefits may include healthcare, commuter benefits, and retirement options such as 401(k) or pension plans.
- Reasonable accommodations and adjustments are available in accordance with applicable law.
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