Senior Research Data Scientist (Causal Inference)

Location: San Jose, United States; hybrid work with office attendance generally required Monday through Thursday and flexible remote work on Fridays

Estimated annual base salary for California: $203,800–$323,700

Company

hirify.global is a public TV streaming platform connecting consumers, content publishers, and advertisers through streaming products and services.

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.
• Build long-term outcome frameworks for projecting impact from limited observation windows.
• Develop diagnostic and validation standards for causal estimates at scale.
• Use AI to create counterfactual scenarios and tools for running, understanding, and applying causal estimates.
• Collaborate 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.
• Deep expertise in observational causal methods, including propensity score matching, Double Machine Learning, doubly robust estimation, instrumental variables, and difference-in-differences.
• Experience building reusable causal inference tools or platforms.
• Proficiency with Spark, Ray, SQL, Python, and machine learning frameworks such as scikit-learn, XGBoost, and LightGBM.
• Experience with terabyte- or petabyte-scale datasets, distributed computing, and communicating econometric findings as business recommendations.

Nice to have

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

Culture & Benefits

• Collaborative, fast-paced environment focused on measurable customer and business impact.
• Health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
• Global mental health and financial wellness support.
• Local benefits may include healthcare, commuter benefits, and retirement options such as 401(k) or pensions.
• Reasonable accommodations and adjustments are available during the hiring process.