Data Scientist, GenAI Strategy and Operations, DeepMind

Minimum qualifications:

Bachelor's degree in Business Analytics, Information Technology, Computer Science, Data Science, a related field, or equivalent practical experience.

7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

5 years of experience in a consulting role developing and executing performance advertising strategies.

Preferred qualifications:

MBA or Master's degree in Statistics, Data Science , or a related field.

Experience with advanced data visualization, Business Intelligence (BI) tools, and translating complex datasets into executive-level insights, and experience with a scripting language (e.g., Python or Apps Script) to automate data analysis.

About the job

At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

Through your professional expertise and judgment, you work on multiple projects concurrently, developing analyses, models and methods to support and verify the impact of your recommendations. You share your expertise by consulting on projects, serving on committees and mentoring team members.

With Google DeepMind, you will drive focus and clarity for the GenAI team and enable seamless operations that catalyze our path to AGI.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192,000 - $278,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Partner closely with cross-functional leadership to define core operational hypotheses and design metric frameworks.

Develop, deploy, and scale intuitive, self-service analytical dashboards (PLX, Tableau, or Google Data Studio) to enable real-time monitoring of organizational health and KPIs for stakeholders.

Programmatize workflows, manage resource dependencies, proactively mitigate risks, and collaborate across internal teams to ensure operational rhythm and milestone execution.

Act as a trusted advisor to senior leadership by synthesizing complex quantitative findings into clear, narrative-driven presentations. Communicate technical and statistical insights effectively to influence strategic decision-making.

Apply advanced data science methodologies to evaluate organizational design, productivity, and spending patterns, translating data into insights.