Remote job
Data Scientist - Measurement
Job details
About this role
Role overview
Develop and put into production statistical and machine learning methods that measure advertising outcomes. You’ll explore large datasets, test new approaches, and work with product, engineering, analytics, and business partners to improve attribution capabilities and guide new measurement products.
Responsibilities - Turn early ideas into prototypes, validate them through experiments, and take promising solutions into production. - Own and extend advertising measurement capabilities, including attribution and causal inference methods. - Investigate data and systems to identify opportunities for product improvements or new measurement approaches. - Work with engineering and product partners to refine solutions and evaluate their impact. - Explain methods and findings to audiences with different levels of technical expertise.
Requirements - Bachelor’s degree in a quantitative field such as statistics, computer science, economics, or operations research; a graduate degree is preferred. - At least three years applying statistical marketing models, Bayesian methods, and causal inference to data-driven problems. - Strong grounding in data science, machine learning, and AI. - Programming ability, preferably in Python and its data science tools, plus SQL; willingness to write production code. - Experience with AI coding assistants and agent-based development. - Clear communication skills and ability to present analytical findings.
Nice to have - Experience building or supporting media mix models. - Familiarity with cloud platforms, especially Google Cloud, or with BigQuery or Spark. - Knowledge of digital media or advertising.
Benefits and work setup - Remote role limited to candidates in the United States. - Competitive salary, stock options, flexible vacation, medical and dental coverage, FSA, matched 401(k), and paid parental leave. - The listing gives a target base salary of $135,000–$155,000 for candidates in specified states; compensation may vary by experience, skills, location, and other factors. - Professional development support is available.