Product Data Scientist, Sellside Ads

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

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

Google is seeking a highly skilled data analytics professional to join our Ads analytics/ Data Science team in New York. You will partner with product managers and engineers to deliver data-driven insights, modeling, dashboards, and analytics consulting that shape strategic decisions for the Ads business.

Expected to work with real-time, large-scale data and collaborate across teams to deliver actionable insights while adhering to rigorous analytical standards and regulatory considerations.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related quantitative field.
• 5 years of experience with analysis applications and coding, or 2 years with a Master’s degree.

Responsibilities

• Make decisions from data and maximize impact by prioritizing stakeholder requests.
• Collaborate with PMs and engineering teams for sellside products: AdSense, Google Ad Manager and AdMob.
• Work with Finance and Publisher Intelligence colleagues on cross-functional analyses.
• Conduct ad-hoc deep dives into experiments and product performance to guide investments and regulatory inquiries.
• Communicate risks and opportunities to decision-makers and executives.

Skills

Statistical analysis

Data interpretation

Python

SQL

R

Education

Bachelor's degree in a quantitative field

Master's degree in a related field

Tools

Python

SQL

R

Job description

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

Minimum qualifications:

• 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.

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

Responsibilities

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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .