Data Engineer, Core Analytics Team

We're looking for an experienced data scientist with at least 4 years experience working in a data role (e.g. Analytics Engineer, Data Engineer, Data Scientist or Product Data Analyst) who can translate complex business challenges into impactful data-driven solutions.

Essential Skills:

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.

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.

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

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.