Google is hiring: Data Scientist, Product, Connected TV in San Bruno

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 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 of work experience with a Master’s degree.
• 2 years of experience identifying and influencing opportunities for business/product improvement.

Preferred Qualifications

• Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

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 part of the YouTube Data Science team, you will serve as an analytics expert for our partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data and make critical recommendations for fellow Googlers in Engineering and Product Management. You’ll relish tallying up the numbers one minute and communicating your findings to a team leader the next. YouTube’s Connected TV Data Science team plays a pivotal role in fueling growth by providing data‑backed insights that directly drive technical and business roadmaps. In this role, you partner with organizational leaders to guide strategic content acquisitions, sports and non‑sports rights, and more, driving efficient growth for the business.

Responsibilities

• Perform analysis using SQL, R, Python and relevant tools, applying comprehensive technical knowledge to custom data infrastructure or existing data models.
• Own the process of gathering, extracting, and compiling data across sources via SQL, R, Python. Format, re‑structure, and validate data to ensure quality.
• Develop and standardize a comprehensive suite of growth metrics and health indicators to measure performance across YouTube product and feature areas.
• Provide investigative insights and recommendations to influence product feature development decisions, with guidance as needed.
• Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics.

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.