Senior Applied Data Scientist

Posted 4 Days Ago
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Mountain View, CA
Senior level
Artificial Intelligence
The Role
Lead complex analytical projects as a Senior Applied Data Scientist at Google DeepMind, translating data insights into strategic recommendations and driving decision-making for senior leadership.
Summary Generated by Built In

Snapshot

Are you a highly experienced Applied Data Scientist (5+ years of experience) looking to tackle complex strategic challenges at the forefront of AI?

Join Google DeepMind’s Core Analytics Team! You will lead critical analytical initiatives and partner directly with leadership across the company to shape strategy on key topics including research organisation and execution, organisational design/people strategy, product impact, and compute infrastructure.

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 a seasoned Senior Applied Data Scientist who excels at navigating ambiguity, leading complex analytical projects, and translating data into high-impact strategic recommendations for senior leadership. This role offers the opportunity to work across a wide array of critical business domains within Google DeepMind, driving data-informed decisions on topics central to our mission.

You will act as a strategic thought partner, proactively identifying opportunities for analysis, defining analytical approaches for challenging problems, and delivering insights that influence key organisational strategies related to research, people, product, and infrastructure. While primarily an individual contributor role, you will also play a key part in mentoring junior team members and shaping the team's analytical best practices.

Key responsibilities

  • Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify the most pressing challenges and use data to solve them.
  • Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover root causes, model trends, and answer complex questions around our organisational health and effectiveness.
  • Data Storytelling & Communication: Translate these findings into clear, compelling narratives and drive organisational decisions and change by interacting with diverse audiences (technical and non-technical) via presentations, reports, and dashboards.
  • Proactive Opportunity Identification: Go beyond assigned tasks to identify emerging trends, potential risks, and new opportunities for analytical intervention that can drive strategic value.
  • Cross-functional Collaboration: Work effectively with diverse teams (engineering, product, research, operations, HR) to access data, understand context, and ensure recommendations are applicable.
  • Enablement & Monitoring: Develop and maintain tools (dashboards, reports) to provide ongoing visibility into key metrics and empower stakeholders with self-service analytics where appropriate.
  • Mentorship & Team Development: Mentor & develop other data scientists, fostering their growth and maximising their impact. Contribute to defining team standards, improving analytical methodologies, and sharing knowledge across the team.

What We Can Offer You:

  • Significant Strategic Influence: Directly shape key decisions across multiple strategic pillars of Google DeepMind through your analytical leadership and insights.
  • Exposure to Diverse, High-Impact Problems: Tackle a wide variety of intellectually stimulating challenges at the heart of AI development and organisational strategy.
  • Senior Leadership Visibility: Partner directly with Director+ level stakeholders, honing your executive communication and influencing skills.
  • Thought Leadership Opportunities: Help define analytical approaches and best practices within a cutting-edge organisation.
  • 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 a highly experienced and impactful senior data professional (5+ 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 collaborating with business partners to see your work directly influence decisions.

Essential Skills:

  • Extensive Analytical Experience: Proven track record (typically 5+ years) in data science or analytics roles, demonstrating increasing responsibility and impact.
  • Strategic Problem Solving & Framing: Ability to independently identify, structure, and lead the analysis of complex, ambiguous strategic questions.
  • Expert SQL for Complex Analysis: Mastery of SQL for sophisticated data extraction, manipulation, and analysis across large, intricate datasets.
  • Advanced Python for Data Science: High proficiency in Python and its data science ecosystem (Pandas, NumPy, SciPy, Scikit-learn, visualization libraries) for complex modeling and analysis.
  • Executive Communication & Influence: Exceptional ability to communicate complex quantitative findings and strategic recommendations clearly, concisely, and persuasively to senior executive audiences. Proven ability to influence decision-making.
  • Strong Stakeholder Management: Demonstrated ability to build trust and collaborate effectively with senior stakeholders across different functions.
  • Applied Statistics & Modeling: Deep understanding and practical application of relevant statistical methods and modeling techniques (e.g., regression, classification, experimentation, forecasting).
  • Mentorship Aptitude: Demonstrated ability or strong interest in coaching and mentoring junior team members. 

Useful Skills:

  • Broad Domain Experience: Experience applying data science across diverse business areas such as R&D, HR/People Analytics, Product Strategy, Finance, or Operations.
  • Experience with Large-Scale Data Systems: Familiarity with data warehousing concepts and working with large-scale data in cloud environments (e.g., Google Cloud Platform).
  • Project Leadership: Experience formally or informally leading analytical projects or workstreams, with demonstrated project management capabilities.
  • Previous Line Management Experience: Experience managing direct reports is a plus.

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 $142000 - $219000 + 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.

Top Skills

Numpy
Pandas
Python
Scikit-Learn
Scipy
SQL
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The Company
1,218 Employees
On-site Workplace
Year Founded: 2010

What We Do

We’re a team of scientists, engineers, machine learning experts and more, 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.

Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).

Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.

We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

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