> Markdown version of [/jobs/ext/4622507-senior-staff-research-data-scientist](https://www.wearedevelopers.com/jobs/ext/4622507-senior-staff-research-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff Research Data Scientist - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $262,000 - **Contract:** Permanent contract - **Skills:** Training Data, Big Data, Databases, R (Programming Language), Python (Programming Language), Machine Learning, SQL Databases, Reinforcement Learning, Deep Learning - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25304_cc5b085b6dda79bb9c2777d1c16a930b ## About the Role * Master's degree in a quantitative field (Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related) or equivalent practical experience. * 10 years of work experience using analytics to solve product or business problems, including coding (Python, R, SQL), and querying databases or performing statistical analysis; or 8 years of work experience with a PhD. * Proficiency with Python, R, and SQL., * 12 years of work experience using analytics to solve product or business problems, including coding (Python, R, SQL), and querying databases or statistical analysis; or 10 years with a PhD. * Experience in Deep Learning, Infrastructure Systems, or Reinforcement Learning. ## Description * Work with large, complex datasets to tackle advanced and ambitious data science problems. * Develop and deploy machine learning approaches that improve model outcomes through higher-quality training data. * Define data excellence standards and apply them to training data workflows. * Create and refine methodologies that boost model performance, including data acquisition and actionable insights. * Define key success metrics across different formats and measurement needs. * Present findings to executive stakeholders and executives; clearly defend work and use insights to shape strategy and product direction. * Collaborate cross-functionally across product and model teams, working closely with Product Management and engineering to identify opportunities.