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AI Job Summary

Lead data science strategy for product growth, performing statistical analysis and building predictive models using SQL, Python, and R to drive business decisions. Requires a bachelor's degree in a quantitative field plus 10 years of analytics experience solving product problems, or 8 years with a master's degree. Must have experience with commercial metrics and business models such as e-commerce, retail, or pricing.

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

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Job Description

  • Perform analysis utilizing relevant tools (e.g., SQL, R, Python) and provide investigative thought leadership through proactive and strategic contributions.
  • Develop the data science roadmap that delivers against the broader strategy. Establish project goals, coordinate resources, and provide technical leadership.
  • Synthesize insights from cross-channel experimentation, calculating price elasticity curves and establishing performance baselines for user interventions.
  • Define and report Key Performance Indicators (KPIs) during business reviews. Translate analysis results into business insights or product improvement opportunities.
  • Build predictive models integrating complex datasets and serve as the subject matter expert driving metrics development, modeling, and presenting to stakeholders.

Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree.
  • Experience with commercial metrics or business models (e.g., e-commerce, retail, subscriptions, promotions, or pricing).

Preferred qualifications:

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
  • Experience building predictive models for customer lifetime value (LTV), pricing, or user churn.
  • Experience with driving app growth through traffic redirects, engagement, conversion funnel optimizations, and notifications.
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree.
  • Experience with commercial metrics or business models (e.g., e-commerce, retail, subscriptions, promotions, or pricing).
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  • Role Staff Product Data Scientist, Pixel Growth, Google Store
  • Experience 8-9 years
  • Education Bachelor Degree
  • Work type On-site
  • Location United States
Check my match (free)
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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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 week ago
Job Type
Full Time
Education
Bachelor Degree
Experience
8-9 years

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