Full-Time

Senior Data Scientist, Gemini App, Google DeepMind at Google DeepMind

Company Google DeepMind
Sector Technology
Posted Posted 1 days ago

Job Description

We are seeking a Senior Data Scientist to join our GeminiApp team in Zurich, Switzerland. As 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.

Responsibilities:

  • Partner with Verticals PM, engineering, and UX to develop data-driven product strategies
  • Translate ambiguous questions into well-defined problems, design experiments, and analyse 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 personalise 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 a global team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work

Requirements:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
  • 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree
  • 2 years of work experience identifying opportunities for business/product improvement and then defining/measuring the success of those initiatives
  • A bias for action and a relentless drive to build something great
  • Strong business acumen and a strategic mindset
  • Deep technical expertise
  • Exceptional communication and presentation skills
  • A collaborative and influential partner
  • A commitment to user trust and privacy

Preferred qualifications include a Master's degree in a relevant field and experience working with machine learning and statistical modelling tools.

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