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1 день назад

Senior Research Data Scientist (AI)

217 000 - 303 200$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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