Data Scientist, Ecosystem Analysis
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree.
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Experience in data science methodologies, data analysis, and experimental design.
- Ability to think critically, analyze complex problems, and develop data-driven solutions.
- Excellent business acumen and the ability to align research efforts with organizational objectives.
About the job
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.
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 iteratively to provide insights at scale. Develop 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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.