Data Scientist, Ecosystem Analysis

Google LLC; Mountain View (CA); Hybride; USD 138 000 - 198 000; Plein temps

Résumé du poste

Google’s Applied Research and Strategy group seeks an experienced data scientist to derive strategic insights from large, complex data sets and to drive data-driven decisions across product, engineering, and partnerships. You will build metrics, data sources, and scalable pipelines that inform cross-product strategies and long-term bets.

The role emphasizes collaboration with knowledge ecosystems, development of data-driven approaches, and communication of results to executives and stakeholders.

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.

Responsabilités

• 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.

Connaissances

Analytical thinking

Problem solving

Communication

Formation

Bachelor's degree in a quantitative field

Master's degree in a related quantitative field

Outils

Python

R

SQL

Description du poste

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.

The US base salary range for this full-time position is $138,000-$198,000 + 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.

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 also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.