Staff Data Scientist, GeminiApp

Posted 5 Days Ago
Easy Apply
Be an Early Applicant
2 Locations
In-Office
156K-229K Annually
Mid level
Artificial Intelligence
The Role
As a Data Scientist, you'll develop data-driven strategies, analyze complex datasets, deploy statistical models, and communicate insights to stakeholders, driving user-centered experiences and model quality collaboration.
Summary Generated by Built In
About the Team

Our team, GeminiApp, is on a mission to build a universal AI assistant that will empower billions of people. We are creating a personal, proactive, and powerful life assistant that will be used multiple times a day to increase productivity and creativity by 10 to 100-fold. Our work is shaping how humanity interacts with AI at scale.

About the Role

As a Data Scientist on the GeminiApp team, you are a key partner and co-creator in our product strategy. You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data. This is a high-impact role for a data scientist who is excited about working in a fast-paced, innovative environment and who is passionate about building user-centered experiences that will redefine our relationship with technology.

What You’ll Do
  • Partner with product, engineering, and UX to develop data-driven product strategies
  • Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights
  • Develop and implement novel, goal-oriented metrics
  • Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience
  • Communicate findings & recommendations to stakeholders, including executives
  • Champion data-driven culture by feeding user engagement insights back into models
  • Collaborate with the GenAI team on model quality and feature adoption
  • Act as a technical leader for the local team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work [For L6 only]
What We're Looking For
  • A bias for action and a relentless drive to build something great. You are a resourceful and creative problem-solver, able to find innovative solutions in a fast-paced and dynamic environment. You are comfortable with ambiguity and thrive on a challenge.
  • Strong business acumen and a strategic mindset. You have a proven ability to connect data-driven insights to business impact and can effectively translate business needs into data science problems.
  • Deep technical expertise. You have a strong foundation in statistical modeling, machine learning, and experimental design. You are proficient in SQL and have hands-on experience with a programming language like Python or R.
  • Exceptional communication and presentation skills. You can articulate complex technical concepts to both technical and non-technical audiences, including executive leadership. You are a compelling storyteller who can use data to influence decisions.
  • A collaborative and influential partner. You have a track record of successfully collaborating with and influencing cross-functional teams, particularly engineering and product management, to drive data-informed decisions. You are ready to work in an environment with a shared roadmap that holds multiple teams accountable for both model quality and feature adoption.
  • A commitment to user trust and privacy. You understand the importance of telling users what data is being used and why, and you are committed to providing users with granular, easy-to-understand controls over their personal information.
Why You'll Love Working Here
  • Impact: You'll have a direct and meaningful impact on a product designed to empower billions of people and be one of the greatest forces for good in the world.
  • Growth: We're a fast-growing team within Google, and you'll have the opportunity to evolve quickly to meet changing user needs.
  • Team & Culture: You'll work with a talented and passionate team of people who are excited about what they do and have fun doing it.

The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

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 opportunity 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

Machine Learning
Python
R
SQL
Statistical Modeling
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The Company
1,218 Employees
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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