Data Scientist, GenAI Strategy and Operations, DeepMind (Fixed-Term Contract)

Google DeepMind; Mountain View (CA); On-site; USD 256,000 - 278,000; Full time

Job summary

Google DeepMind seeks a Quantitative Analyst for a 12-month fixed-term contract. You will mine large data sets, collaborate with Engineers, PMs, Sales and Marketing, and translate findings into actionable strategies to improve efficiency and drive product innovation.

You will work on multiple projects, deploying analyses, models, and methods, mentoring teammates, and supporting leadership with data-driven recommendations across the organization.

Qualifications

• Bachelor’s degree in Business Analytics, IT, CS, Data Science or related field (or equivalent).
• 7 years analytics experience solving product/business problems with coding (Python/R/SQL).
• 5 years consulting in performance advertising strategy.
• MBA or Master’s in Statistics/Data Science preferred.
• Experience translating datasets into executive insights with BI tools.

Responsibilities

• Define core operational hypotheses with cross-functional leadership.
• Develop, deploy and scale self-service dashboards for real-time KPIs.
• Plan workflows, manage dependencies, mitigate risks across teams.
• Present complex findings clearly to senior leaders to influence decisions.
• Apply data science methods to evaluate design, productivity and spending.

Skills

Analytics experience

Python/SQL

Data analysis

Education

Bachelor's degree or equivalent

MBA or Master’s in Stats/Data Science

Tools

BI tools

Tableau/Data Studio

Plx dashboards

Job description

This is a 12 month Fixed Term Contract (FTC) role.

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: $256000 - $278000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.