Data Engineer, Core Analytics Team

DeepMind • Mountain View, CA

1d

About The Position

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.

Requirements

• Advanced Data Modelling in SQL: Experience designing, building, and optimizing complex data models in SQL. You understand fundamental data modelling principles and are comfortable reasoning through design tradeoffs depending on use case. You are an advanced SQL user who is confident in solving data problems that require multiple transformation steps.
• Python for Data Science: Proficiency in Python and its data stack (e.g., Pandas, NumPy, Scikit-learn) for rigorous data analysis and/or statistical modeling. Experience creating clear and effective data analyses and demonstrated aptitude for quickly learning and applying AI tools to extract richer insights. Ability to write clean, testable, and maintainable Python code, following best practices.
• Building Scalable Data Pipelines: Experience building and maintaining pipelines to ingest, process, and transform high volumes of data using tools like DBT, Airflow, or Apache tools
• Communication: We deliver results by partnering closely with peers and stakeholders and are looking for someone who communicates clearly and proactively, including when: Communicating with technical audiences (e.g. software engineers). Explaining technical concepts to non technical audiences (e.g. project managers) and senior leaders. Translating stakeholder data needs into technical requirements.
• Agency: We are looking for self starters who will proactively build relationships, drive projects and solve problems.
• Project Management: Good project management skills, including communicating timelines, expectations and progress, are essential.

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

Benefits

• 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 across the stack, including data modeling, pipeline development, and presenting to senior stakeholders; equipping you with a diverse skill set crucial for career advancement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed