Google's Health Data Science team is looking to drive transformative growth by providing a competitive edge, inspiring action, and shaping the future of their business, specifically focusing on an AI-powered personal health coach built with Gemini and improving user interaction with computing through innovative experiences.
Requirements
- 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience and a Master's degree).
- Use causal inference to quantify impact on product improvements.
Responsibilities
- Drive analysis to contribute to shaping the future of the new AI-powered personal health coach, built with Gemini and possessing expertise that adapts based on users’ personal health and wellness data.
- Inform key product decisions, focused on improving product usability, and users’ adoption, engagement, and satisfaction. Focus on core product and intelligence features, user segmentation, and relation to user satisfaction.
- Drive analysis and experimentation for full funnel optimization, including attach rate, conversion rate and lifetime value, with a particular focus on growing the Fitbit subscription business.
- Help drive key decisions to improve Google Health products and services.
- Deliver effective presentations of recommendations to stakeholders.
- Conduct data analysis to make business recommendations.
- Develop and automate reports and dashboards to provide insights at scale.
Other
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Deliver effective presentations of recommendations to stakeholders.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
- We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
