Sr. Data Scientist - Measurement

Role overview Develop and deploy statistical and machine learning solutions for advertising measurement products. You’ll take ideas from early exploration through production, using causal inference and marketing analytics to assess campaign impact and improve measurement capabilities. The role combines hands-on modeling with close work across product, engineering, analytics, and customer-facing teams.

Responsibilities - Partner with product stakeholders to prototype ideas and mature promising work into production. - Own and extend core advertising measurement capabilities. - Explore data and systems, run experiments, and recommend product improvements. - Work with product and engineering teams to advance attribution and causal measurement methods. - Communicate methodologies and findings to audiences with different levels of technical knowledge.

Requirements - Bachelor’s degree in statistics, computer science, economics, operations research, or a related quantitative field; graduate study is preferred. - At least five years applying statistical marketing models, Bayesian methods, and causal inference to complex data problems. - Strong programming ability, preferably with Python and SQL, and interest in writing production code. - Experience owning work from research and prototyping through deployment. - Knowledge of modern data science, machine learning, and AI. - Experience with AI coding assistants or agentic development workflows.

Nice to have - Experience building or supporting media mix models. - Familiarity with cloud platforms, especially Google Cloud, and with BigQuery or Spark. - Background in digital media or advertising.

Benefits and work setup - Remote position for candidates in the United States. - Benefits include stock options, health and dental coverage, a matched retirement plan, flexible paid time off, parental leave, and professional development support.