Data Scientist, Product, Youth Responsibility

Job Description

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.
As a Data Scientist with the YouTube Youth Responsibility efforts, you will partner with Program Manager (PM) and the Engineering (Eng) team to improve YouTube's ability to provide a safe, high-quality experience for kids and families. The YouTube Youth Responsibility team strives to be a positive influence by offering smarter, age-appropriate recommendations for videos.
You will join our efforts to support families through a portfolio of ML-based products designed with their safety in mind-like content understanding classifiers, recommendations models, and Search and Discovery treatments. You will drive innovative approaches that ensure time on YouTube is always time well spent, with top-notch quality and safety at its core.
Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
The US base salary range for this full-time position is $132,000-$189,000 + 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.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Resonsibilities:
• Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Using comprehensive technical knowledge, use custom data infrastructure or existing data models.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
• Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
• Provide investigative insights and recommendations to influence product feature development decisions, and with some guidance.
• Build and prototype analysis and business cases to provide insights. Develop comprehensive knowledge of Google data structures and metrics.
Qualifications:
Minimum qualifications:
• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
• 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 work experience with a Master's degree).
Preferred qualifications:
• Master'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).
• Experience in Trust and Safety or Policy.
• Ability to drive family content recommendations improvements for kids, teens, and families on YouTube.

Jobcode: Reference SBJ-128v6m-216-73-216-18-42 in your application.