Data Engineer, Core Analytics Team

Snapshot Are you an experienced Data Scientist (4+ 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! You will bring a data lens to strategic business problems around compute and product adoption, directly enabling our frontier efforts across the organization. This role focuses on leveraging data science techniques – particularly advanced SQL, Python, and data modeling – 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. To do this, we blend our technical skillset with rich stakeholder relationships. The Role We are looking for an experienced data scientist who is skilled at and motivated by translating ambiguous business problems into structured, data driven solutions. This role will build data foundations and assets, define key metrics, and make recommendations to guide strategic decisions within our compute and product domains. Within the compute domain, this role will specialize in compute management, exploring areas like the efficiency of our ML workloads and infrastructure, cost optimization, and capacity planning as well as handling high volume metadata from infrastructure systems. Within the product domain, this role will empower the continuous evolution of GDM's models and products by developing contextualized analysis, data infrastructure and tooling to reveal deep user insights and enable efficient, scalable operations. Key responsibilities: Identify Data Needs: Collaborate with engineering and product teams to highlight data gaps, suggest architecture and development approaches, and meet data management standards to address complex analytical problems Data Foundations: Refine our systems, create scalable data models, and build productionized data pipelines to design and build some of the world’s most extensive data sets Analysis : Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights, model trends, and answer complex questions Strategic Partnership : Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact analytical questions Data Storytelling Communication: Translate complex analytical findings into clear, compelling narratives and actionable recommendations for diverse audiences through optimal data artifacts (presentations, reports, datasets, and dashboards) Leverage AI: Share knowledge, contribute to the team's analytical roadmap, and help accelerate the team through improved processes and the use of AI tools What We Can Offer You: Direct Strategic Impact : Your analysis and recommendations will directly inform critical decisions about Google DeepMind's resources and investments, influencing our ability to achieve our mission. Deep Domain Expertise : Opportunity to become a subject matter expert in the rapidly evolving and critical domains of AI compute and product. 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. Unparalleled Breadth of Analytics Experience : Impact all facets of analytics and gain experience acr ... (truncated, view full listing at source)