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AI Job Summary

Develop financial strategies and long-range forecasts for ads measurement products, partnering across teams to design causal inference frameworks and quantify revenue impact. Requires a master's degree in a quantitative field or equivalent experience, plus seven years building analytics solutions with Python, R, or SQL. You'll structure partnerships, define metrics, and deliver executive insights on portfolio allocation and ROI valuations.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • 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.

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.
  • 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.
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  • Role Staff Business Data Scientist, Ads Measurement
  • Experience 8-9 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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33 more Data Scientist roles in Mountain View

Job Overview

Approx. salary range

209K – 250K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 38 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
8-9 years

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