Product Data Scientist, Sellside Ads

DataJobs; New York (NY); On-site; USD 138,000 - 197,000; Full time

Benefits offered by this job

Health insurance

Equity

Bonus

Job summary

DataJobs in New York, NY seeks a Product Analytics Lead to build analytics and modeling insights for sellside ad products by partnering across Ads teams and applying quantitative methods to large-scale auction data. You will deliver product analytics, modeling, dashboards, and metrics definitions; collaborate with Google Research and DeepMind; and support PMs, engineering, Finance, and Publisher Intelligence.

Location: New York, NY (onsite).

Qualifications

• Bachelor’s or Master’s in a quantitative field; 5 years of analytics experience or 2 years with a Master’s degree.
• Experience extracting insights, statistical analysis, and solving business problems.
• Proficiency in Python, R, or SQL is required.

Responsibilities

• Make data-driven decisions and prioritize stakeholder requests to maximize impact.
• Collaborate with analysts and data scientists supporting PMs and engineering for sellside products (AdSense, Google Ad Manager, AdMob).
• Work cross-functionally with Finance and Publisher Intelligence.
• Lead ad-hoc deep dives into experiments and product performance.
• Provide quantitative support on auction fundamentals and engaged market dynamics.
• Support regulatory inquiries with quantitative analyses for published research.
• Identify and communicate upcoming risks and opportunities for the business.
• Develop and scale infrastructure that supports existing analyses.
• Present findings to decision-makers and executives across the company.

Skills

Python

R

SQL

Education

Bachelor's degree

Master's degree

Tools

Gemini

Job description

Build product analytics and modeling insights for sellside ad products by partnering across Ads teams and applying quantitative methods to large-scale auction data.

Responsibilities

• Make data-driven decisions and prioritize stakeholder requests to maximize impact.
• Collaborate with a team of analysts and data scientists supporting PMs and engineering for sellside products including AdSense, Google Ad Manager, and AdMob.
• Work cross-functionally with analyst colleagues in Finance and Publisher Intelligence.
• Lead ad-hoc deep dives into experiments and product performance.
• Provide quantitative support on auction fundamentals and engaged market dynamics.
• Support responses to regulatory inquiries and contribute quantitative analysis for published research on these topics.
• Identify, analyze, and communicate upcoming risks and opportunities for the business.
• Develop and scale infrastructure that supports existing analyses.
• Present findings to decision-makers and executives across the company.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems).
• Experience coding for analysis, including Python, R, or SQL.
• Equivalent path: 2 years of experience with a Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

Skills & Tools

• Python
• R
• SQL
• Gemini

Compensation & Benefits

• Salary: USD 138,000 - 197,000 per year
• Bonus: 15% target
• Equity
• Benefits
• Health insurance

About the Role

• Product analysts and data scientists collaborate within and across Ads product area groups (PAGs) on complex, data-intensive problems.
• Deliver product analytics, in-depth analyses, modeling, dashboards, metrics definitions, and analytics consulting.
• Interpret and analyze huge data sets generated from real-time ads auctions running at 5-10M QPS (queries per second).
• Study longitudinal issues such as engagement and customer loyalty, new business segments, competitive positioning, and risks.
• Support strategic Ads product decisions with a data-driven and objective perspective, producing insights and recommendations.
• Leverage AI innovation, including cutting‑edge machine learning and Generative AI models like Gemini, to power a multi‑billion dollar global business.
• Work impacts billions of users by helping protect users from harm, improving ad quality, and optimizing campaigns for advertiser return‑on‑investment.
• Collaborate closely with teams including Google Research and DeepMind.

Location: New York, NY (onsite)