Product Data Scientist — Ads Analytics & AI Modeling

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

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).