Applied Data Scientist – Compute & Experimentation

Snapshot

Are you an experienced Applied Data Scientist (3+ years of experience) excited to use strong technical and analytical skills to power our mission to bring the benefits of AI to the world?

Join Google DeepMind’s Core Analytics Team! Working closely with our Generative AI/Gemini org, you will bring a data lens to strategic business problems around compute and infrastructure strategy, directly enabling our frontier research and product development efforts.

This role focuses on leveraging data science techniques – particularly advanced SQL, Python for analysis, and statistical methods – to drive strategic decisions and generate insights, rather than deep machine learning model development.

About us

Google DeepMind: Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

Core Analytics Team: The Core Analytics Team (CAT) are a full stack data science team that organise, model, and deploy data to guide Google DeepMind strategy & decisions, blending our technical skillset with rich stakeholder relationships to deliver impact.

The role

We are looking for an experienced Applied Data Scientist who is skilled at and motivated by translating ambiguous business problems into structured, data-driven analyses that drive organisational decisions and change. This role will specialise in the area of compute management, exploring areas like the efficiency of our accelerators and infrastructure, cost optimization, and capacity planning.

You will be embedded within the problem domain, working closely with GenAI/Gemini technical program managers, engineers, and leadership to understand their challenges, formulate key questions, and deliver timely insights.

Key responsibilities

• Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact analytical questions related to compute and infrastructure strategy.
• Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights, model trends, and answer complex questions about efficiency, usage patterns, and strategic investments.
• Data Storytelling & Communication: Translate complex analytical findings into clear, compelling narratives and actionable recommendations for diverse audiences (technical and non-technical) through presentations, reports, and dashboards.
• Enablement & Monitoring: Develop and maintain tools (dashboards, reports) to provide ongoing visibility into key compute metrics and empower stakeholders with self-service analytics where appropriate.
• Identify Data Needs: Collaborate with engineering and product teams to highlight data gaps and advocate for the collection of telemetry needed to improve future analyses and decision-making.
• Team Contribution: Share knowledge, contribute to the team's analytical roadmap, and help improve our overall processes and best practices.

What We Can Offer You:

• Direct Strategic Impact: Your analysis and recommendations will directly inform critical decisions about Google DeepMind's compute resources and infrastructure investments, influencing our ability to achieve our mission.
• Deep Domain Expertise: Opportunity to become a subject matter expert in the rapidly evolving and critical domain of AI compute and infrastructure.
• Leadership Exposure: Work closely with senior leaders and key decision-makers, honing your communication and influencing skills.
• Collaborative Environment: Be part of a supportive and highly skilled data & analytics group, learning from peers and contributing to a culture of analytical excellence.

About you

We're looking for an experienced data professional (3+ years of experience as a e.g. Data Scientist, Data Analyst, Quantitative Analyst, Product Data Scientist) with a proven ability to translate complex business or operational challenges into impactful data-driven solutions and strategic recommendations. You thrive on diving deep into data, excel at communicating insights clearly, and are motivated by seeing your analytical insights, developed through close collaboration with partners, directly influence critical decisions.

Essential Skills:

• Analytical Problem Solving: Proven ability to understand ambiguous problems, formulate key questions, and design/execute appropriate analytical approaches.
• Advanced SQL for Analysis: High proficiency in using SQL to extract, manipulate, aggregate, and analyze complex datasets from various sources to answer business questions
• Stakeholder Management & Communication: Strong track record of building relationships, collaborating effectively, and presenting complex findings and recommendations clearly and persuasively to diverse audiences, including senior leadership. Experience in "data storytelling."
• Applied Statistics/Quantitative Skills: Solid understanding and practical application of statistical concepts for analysis (e.g., hypothesis testing, regression, forecasting).
• Delivery & Execution: Ability to manage multiple analytical projects simultaneously, prioritise effectively, and deliver high-quality insights in a dynamic environment. You are comfortable working independently and taking ownership.

Useful Skills:

• Domain Interest/Experience: Experience with or a strong interest in cloud compute metrics, large-scale infrastructure, hardware accelerators (GPUs/TPUs), or related technical domains.
• Python for Data Analysis: Proficiency in Python and common data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Matplotlib/Seaborn).
• Data Visualization/Dashboarding: Experience creating effective dashboards and visualizations using tools like Tableau, Looker, Google Data Studio, or similar.
• Analytics Engineering: Experience designing and implementing ELT workflows (using tools like dagster, dbt)
• Coaching/Mentoring: Experience mentoring others in analytical techniques or tools.

If you don’t think you embody all of the above criteria, please still seriously consider applying! This role (and therefore the requirements) is broad, and we’d be excited to discuss how you see yourself contributing across it.

The US base salary range for this full-time position is between $122,000 - $186,000 + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: Sunday 18th April, 2025 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.