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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Research Data Scientist, Ads Insight and Measurement - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $174,000.0 - $252,000.0 - **Contract:** Permanent contract - **Skills:** Bioinformatics, Databases, R (Programming Language), Python (Programming Language), Machine Learning, SQL Databases - **Published:** September 6, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3380097909&tx=KK2323FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. * 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree., * 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. * Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. * Experience with causal inference methods such as split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators. * Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. * Applied experience with machine learning on datasets. ## Description * Direct the design and development of innovative measurement methodologies and products, setting the strategic technical direction for Conversion Lift and incrementality measurement. * Architect and oversee the execution of complex experimental frameworks, including both user-level and geo-based randomized controlled trials, to rigorously establish causal impact at scale. * Advance quantitative methods by integrating causal inference, statistical modeling, and machine learning techniques to solve highly ambiguous and complex measurement challenges. * Drive the creation of scalable analysis pipelines, setting technical standards for the team and mentoring other data scientists on end-to-end analysis best practices. * Serve a key technical lead and trusted cross-functional partner, and a mentor to junior data scientists. 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Current or past grants do not confer an acquired right. ## Related Videos - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone](https://www.wearedevelopers.com/videos/100117-tidb-one-layer-at-a-time-how-distributed-sql-became-an-agentic-ai-backbone) - [OLAP for AI Applications and why you should care](https://www.wearedevelopers.com/videos/100212-olap-for-ai-applications-and-why-you-should-care) ## Related Articles - [Got AI ideas but no money? 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