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2 часа назад

Sr. Research Data Scientist (Causal Inference)

330 000 - 375 000$
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

Sr. Research Data Scientist (Causal Inference): Building and productionizing a best-in-class causal inference platform to measure the incremental impact of customer actions and business interventions with an accent on observational causal methods and scalable pipelines. Focus on designing estimation strategies for terabyte-scale data and enabling high-confidence decision-making across the hirify.global streaming platform.

Location: Must be based in or able to work from the Boston office (Hybrid: Mon-Thu in office)

Salary: $330,000–$375,000 annually (for CA, NY, MA)

Company

hirify.global is the #1 TV streaming platform in the U.S., Canada, and Mexico, dedicated to connecting the entire TV ecosystem through innovative streaming technology.

What you will do

  • Design and productionize a causal inference platform to standardize impact measurement.
  • Research and implement causal estimation methods tailored to hirify.global's business questions.
  • Build long-term outcome frameworks for impact projection from observational data.
  • Develop diagnostic and validation standards to ensure the credibility of causal estimates.
  • Leverage AI to create counterfactual scenarios and build tools for causal analysis.
  • Collaborate with Data Engineering and Product teams to deploy production-ready solutions.

Requirements

  • PhD in Economics, Econometrics, Statistics, or a closely related quantitative field.
  • 10+ years of experience applying causal inference and machine learning to real-world problems.
  • Deep expertise in observational causal methods (e.g., propensity score matching, Double ML, instrumental variables).
  • Proficiency with Spark, Ray, SQL, Python, and ML frameworks like scikit-learn and XGBoost.
  • Experience working with terabyte- or petabyte-scale datasets in distributed environments.
  • Must be able to work in a hybrid model (Mon-Thu in office).

Nice to have

  • Technology industry experience.
  • Connected TV, streaming, or advertising domain experience.

Culture & Benefits

  • Comprehensive health insurance (medical, dental, vision).
  • Retirement options including 401(k) and pension plans.
  • Equity awards and disability benefits.
  • Global access to mental health and financial wellness resources.
  • Inclusive, collaborative environment with a focus on pragmatic innovation.

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