Senior Data Scientist, Ecosystem Analysis

Senior Data Scientist, Ecosystem Analysis

Applied Research and Strategy is responsible for horizontal analysis and methodology development to maximize the impact and inform knowledge and information most important strategic decisions. We drive strategic insights for knowledge and information leaders across external landscape, growth and our biggest long term bets. We develop cross-knowledge and information data science strategies and approaches, create cross-product metrics and ensure data quality and push the envelop on new methodologies and tools to enable insights.

The mission of Data Science Applied Research and Strategy is to drive from data insights to strategic cross-product area decision making. In this role, you will partner with the knowledge and information ecosystems team to understand the state and trends in the content ecosystem, identify ways in which Google can continue to support the ecosystem to ensure the existence and access to the content and data necessary to power our products and serve our users. To support this new product area, you will develop new metrics and data sources, develop foundational understanding of the ecosystem, and generate insights and provide direction to product, engineering and partnerships strategies.

You will be a core member of a close and collaborative cross-functional group across product management, engineering, UXR, and partnerships. You will utilize and develop your technical data science expertise, strategic product insight, cross-functional collaboration, and executive influence and communications.

The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Responsibilities:

• Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced investigative methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Build and prototype analysis pipelines to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and sales activity.
• Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to Google products.
• Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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