Senior Data Scientist, Product, Ads Privacy and Safety

Senior Data Scientist, Product, Ads Privacy and Safety corporate_fare Google place Kirkland, WA, USA ; Mountain View, CA, USA ; +3 more ; +2 more bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. info_outline X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

Benefits for this role include:

• Health, dental, vision, life, disability insurance

• Retirement Benefits:

  401(k) with company match

• Paid Time Off:

  20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

• Sick Time:

  40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

• Baby Bonding Leave:

  18 weeks

•

Holidays:

13 paid days per year

Note:

By applying to this position you will have an opportunity to your preferred working location from the following: Kirkland, WA, USA; Mountain View, CA, USA; New York, NY, USA; Pittsburgh, PA, USA .

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 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. Familiarity with global privacy regulations (e.g., General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), Digital Markets Act (DMA)) and their implications relevant to technology companies. Knowledge of financial forecasting, scenario analysis and risk assessment for Ads. About the job The Ads Privacy and Safety team (APaS) is dedicated to fostering trust and transparency within the Google Ads ecosystem. This involves ensuring safety and respect for users, advertisers, and publishers by combating invalid traffic, promoting privacy-respecting business generation practices that empower user control, and advancing content understanding through human and machine intelligence. The APaS Data Science team plays a crucial role in safeguarding the integrity of Google's advertising platform. By focusing on data-driven objectivity, accountability, and user-centricity, this team develops unbiased frameworks to measure business health and deliver impact assessments across key areas like risk, business, and user trust. They proactively counter threats by enabling precise measurement and ensuring the focus remains on the right problems. Through close partnerships across APaS, the team provides continuous measurement and influences strategic decisions with objective insights. As a Senior Data Scientist, you will join our Ads privacy and regulations team. In this crucial role, you will drive data-driven decision-making to ensure regulatory compliance and unlock growth opportunities within Google Ads, safeguarding billions in business while enhancing user trust. You will be a key player in navigating the complex landscape of privacy laws and regulations, developing quantitative models and frameworks that enable Google Ads to adapt and grow. You will be responsible for analyzing the impact of evolving regulations, quantifying risks and opportunities, and generating actionable insights that inform product development, policy adjustments, and using user preference and consented signals effectively for Ads targeting. 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 . Responsibilities Partner with cross-functional teams and deliver data driven insights to stakeholders across Ads, focusing on advertiser, publisher, and user trust and experience. Develop and implement quantitative frameworks to assess the impact of Ads safety, traffic quality, user privacy and regulatory compliance on Ads business, user experience, and product capabilities. Identify areas for optimization in response to evolving trends in the Ads industry and develop models to improve product features against business impact and new threats. Build and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical need. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.