Product Data Scientist, Sellside Ads

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

Job summary

Google LLC in New York, NY, USA is seeking a Share Product Data Scientist for Sellside Ads. You will partner with product analysts and data scientists to deliver analytics, modeling, dashboards, and insights to drive strategic decisions across Ads products on a data-intensive platform.

The role involves collaborating with PMs and engineers, analyzing large-scale data from real-time auctions, and delivering actionable intelligence to prioritize resource investments and improve ad performance.

Qualifications

• Bachelor's degree in a quantitative field; 5 years of analytics experience or 2 years with a Master's.
• Proficiency with Python, R, and SQL for data analysis.

Responsibilities

• Collaborate with product managers and engineers to shape analytics strategy for Ads products.
• Perform in-depth analyses, modeling, and dashboards to drive data-driven decisions.
• Partner with cross-functional teams including Finance and Publisher Intelligence.
• Conduct ad-hoc deep dives into experiments and product performance to inform resource investments.
• Communicate risks and opportunities to executives and scale analytics infrastructure.

Skills

Statistical analysis

Data insights

Python

R

SQL

Problem solving

Education

Bachelor's degree in statistics/related field

Master's degree preferred

Tools

Python

R

SQL

Job description

Share Product Data Scientist, Sellside Ads

Google New York, NY, USA

X In most instances, this position requires in‑person interviews as part of the hiring process.

• 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), and coding (e.g., Python, R, SQL) or 2 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.
• 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).

About the job

We are a team of product analysts and data scientists who partner within and across Ads product area groups (PAGs) on complex, data‑intensive problems. We provide product analytics, in depth analyses, modeling, dashboards, metrics definitions and analytics consulting. We work closely with product managers and engineers to shape the strategy of this business.

We apply technical and business analyses to uncover insights and support and advise strategic decisions. This team interprets and analyzes huge data sets generated from real‑time ads auctions running at 5‑10M queries per second (QPS). We study longitudinal problems, like engagement and customer loyalty, new business segments, competitive positioning and risks. Our mission is to power Ads’ strategic product decisions with data‑driven and objective perspective, insights and recommendations.

About the job

We are a team of product analysts and data scientists who partner within and across Ads product area groups (PAGs) on complex, data‑intensive problems. We provide product analytics, in depth analyses, modeling, dashboards, metrics definitions and analytics consulting. We work closely with product managers and engineers to shape the strategy of this business.

We apply technical and business analyses to uncover insights and support and advise strategic decisions. This team interprets and analyzes huge data sets generated from real‑time ads auctions running at 5‑10M queries per second (QPS). We study longitudinal problems, like engagement and customer loyalty, new business segments, competitive positioning and risks. Our mission is to power Ads’ strategic product decisions with data‑driven and objective perspective, insights and recommendations.

Google Ads is at the forefront of AI innovation, applying cutting‑edge machine learning and Generative AI models like Gemini to power a multi‑billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return‑on‑investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state‑of‑the‑art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Make decisions from data, and be capable of maximizing impact by prioritizing requests from different stakeholders.
• Collaborate as part of a team of analysts supporting PMs and engineering teams for our sellside products: AdSense and Google Ad Manager and AdMob.
• Work cross‑functionally with analyst colleagues in Finance and Publisher Intelligence.
• Conduct ad‑hoc deep dives into experiments and product performance to help prioritize product resource investments. Provide intelligence and quantitative support around auction fundamentals and engaged market dynamics; support our responses to regulatory inquiries and published research into these topics.
• Analyze, uncover, and communicate upcoming risks and opportunities to the business. Develop infrastructure to scale and support existing analyses, and present findings to decision‑makers and executives across the company.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.