Principal Data Scientist (Causal Inference)

Location: Sunnyvale, California, United States; office-based role

Annual salary: $143,000–$286,000 in Sunnyvale; $132,000–$264,000 in Hoboken, New Jersey. Additional performance bonuses and possible stock compensation.

Company

hirify.global develops advertising measurement and optimization solutions using data science, machine learning, and experimentation.

What you will do

• Design and implement large-scale causal inference methodologies to measure incremental advertising lift across campaigns, channels, and segments.
• Establish evaluation frameworks, exit criteria, readiness standards, hypotheses, and data validation practices.
• Develop event-grain incrementality models, including Uplift DNN models, to support advertising bidding optimization.
• Partner with engineering on data pipelines and schemas that meet the precision requirements of causal measurement at scale.
• Define the science roadmap, prioritize high-leverage measurement problems, and make principled technical trade-offs.
• Author technical design documents and whitepapers, present findings to senior leadership, and mentor senior and mid-level scientists.

Requirements

• Master's or bachelor's degree in statistics, economics, econometrics, computer science, mathematics, analytics, information technology, or a related quantitative field; a PhD is strongly preferred.
• At least 5 years of data science or quantitative research experience, or equivalent qualifying experience under the listed degree options.
• Deep expertise in causal inference and incrementality-based optimization, including randomized controlled trials, instrumental variables, regression discontinuity, PIE models, and uplift DNNs.
• Strong experiment design skills at scale, including power analysis, variance reduction, interference and spillover handling, and bias correction.
• Proficiency in Python and SQL, with experience using distributed data platforms such as Spark or BigQuery.
• Strong statistical foundations and machine learning knowledge.

Nice to have

• Advertising industry experience.
• Experience with optimization models and open-source frameworks such as scikit-learn, TensorFlow, or Torch.
• Experience with Python, Spark, Scala, or R assessments, publications, or peer review in relevant journals or conferences.
• Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.

Culture & Benefits

• Medical, vision, and dental coverage.
• 401(k), stock purchase opportunities, and company-paid life insurance.
• Paid time off, sick leave, parental and family care leave, and other statutory or company leave programs.
• Short- and long-term disability coverage, company discounts, military leave pay, and adoption and surrogacy expense reimbursement.
• Walmart-paid education benefits covering eligible tuition, books, and fees.