Staff Business Data Scientist, Ads Measurement

Google; Mountain View (CA); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

20% bonus target

Equity

Benefits

Job summary

Google’s Ads and Commerce Finance team provides strategic analysis and forecasting of Google’s business-generating products to executive audiences. As part of this team, you will have a unique perspective on Google’s core businesses, services and the ecosystems that they operate within.

We are strategic partners to business leaders across Product and Engineering and drive impact through a grounding in hard data, an independent point of view, a bias to action, a collaborative approach.

Qualifications

• Master's degree in Statistics, Engineering, Sciences, or equivalent practical experience.
• 7 years of analytics experience solving product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Responsibilities

• Serve as the strategic Financial thought partner to identify business accelerator opportunities, build complex long-range forecasts, align cross-functional commitments and define north star metrics under a unified portfolio allocation across AIM’s portfolio.
• Collaborate with econometrics and data science teams to design, standardize, and scale advanced causal inference frameworks that quantify the incremental revenue impact of measurement products.
• Formulate robust financial POVs and ROI valuations for high-value third-party measurement and data partnerships, structuring commercial agreements to maximize strategic utility, protect capital, and mitigate risks.
• Coordinate critical, cross-portfolio initiatives and synthesize complex technical and financial findings into high-impact, cohesive narratives and strategic recommendations for high-visibility executive reporting forums and executive leadership syncs.

Skills

Python

R

SQL

Analytics

Education

Master's degree in quantitative discipline

Job description

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

Minimum qualifications

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Preferred qualifications

• 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

About The Job

The Ads and Commerce Finance team provides strategic analysis and forecasting of Google’s business-generating products to executive audiences. As part of this team, you will have a unique perspective on Google’s core businesses, services and the ecosystems that they operate within. We are strategic partners to business leaders across Product and Engineering and drive impact through a grounding in hard data, an independent point of view, a bias to action, a collaborative approach.

In this role, you will be a data scientist to support the strategic cross functional planning and initiatives. You will drive cross-functional alignment across AIM, partner surface teams, media effectiveness measurement, and key media channel groups (Search, YouTube, and Display). It should help advertisers measure the effectiveness of their digital ad spend with Google leveraging a full funnel set of metrics from the top of the funnel down to the bottom of performance and conversions. You'll be at the center of driving the holistic Finance strategy for both product suites, strategy sessions, accelerators sizing, setting and tracking north star metrics and have the opportunity to partner with Product Management, Engineering, Product Strategy, Go-To-Market, and other Finance teams to help guide executive decisions.

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

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Serve as the strategic Financial thought partner to identify business accelerator opportunities, build complex long-range forecasts, align cross-functional commitments and define north star metrics under a unified portfolio allocation across AIM’s portfolio.
• Collaborate with econometrics and data science teams to design, standardize, and scale advanced causal inference frameworks that quantify the incremental revenue impact of measurement products.
• Formulate robust financial POVs and ROI valuations for high-value third-party measurement and data partnerships, structuring commercial agreements to maximize strategic utility, protect capital, and mitigate risks.
• Coordinate critical, cross-portfolio initiatives and synthesize complex technical and financial findings into high-impact, cohesive narratives and strategic recommendations for high-visibility executive reporting forums and executive leadership syncs.

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 .