Data Scientist, Trustworthy Personalization, Google Identity and Engagement

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 2 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or work experience with a Master's degree).

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related field.
• 3 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
• Experience with cross-functional work through the entire data product life-cycle advising and designing data infrastructure, defining success metrics and conducting experiments and statistical analysis to derive insights.
• Excellent problem-framing, problem-solving and team collaboration skills.
• Excellent communication skills, especially in communicating technical and statistical concepts clearly to cross-functional audience.

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Google Identity and Engagement (GIE) provides tools and infrastructure to unlock personalized experiences and drive growth and engagement across the Google ecosystem. This includes infrastructure for Google accounts (e.g., account creation, account management, and authentication, notifications infrastructure, and tools for sharing between accounts).
The Trustworthy Personalization team within GIE focuses on helping users to build and curate their digital identities to unlock better, personalized experiences across Google, specifically by developing centralized and effective account management products and primitives. Addressing top user needs in building a unified online identity. Powering AI-driven personalized experiences with user context and control across Google products.
In this role, you will drive product decisions based on extensive analysis of user behavior across the Google ecosystem and with their Google accounts, answering critical questions.The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

• Partner with Product, Engineering and UX research teams to provide investigative thought leadership, support metrics research and advanced statistical analysis of user journeys across GIE surfaces and Google products
• Perform large-scale data analysis and modeling to identify opportunities for deepening the understanding of end-user behavior, product improvements and measure the impact of initiatives on top level KPIs.
• Support teams with advanced experimentation methods, detect user learning effects, and drive actionable user insights.
• Create product recommendations with presentations of findings for multiple levels of stakeholders.
• Identify and advise on opportunities to improve data infrastructure and closely collaborate with engineering on implementation and validation.

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. See alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.