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Product Feedback Data Scientist

Google is a global technology company that provides a wide range of internet-related services and products.
$166,000 - $244,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
6+ years of experience
AI · Enterprise SaaS
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Description For Product Feedback Data Scientist

Google is seeking a Product Feedback Data Scientist to join their Go-to-Market Operations (GtM) team. This role is crucial in transforming product feedback into strategic insights that drive product development and Go-To-Market strategies. The position involves designing and executing complex analytical projects, building robust data pipelines, and creating sophisticated data models to uncover key user pain points and predict future needs.

The ideal candidate will work closely with Product Managers, Engineering, and GTM teams, serving as a thought leader in data-driven decision-making. They will be responsible for the end-to-end process of converting raw feedback into actionable insights and ensuring that data effectively informs product roadmaps and commercialization efforts.

The role offers a competitive compensation package, including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits. The position requires 6 years of experience in data science or analytics, with a strong background in extracting insights from datasets to drive business impact. The successful candidate will have expertise in Java and/or Python, advanced statistical analysis, and the ability to communicate complex findings effectively.

This is an excellent opportunity for a data professional who wants to make a significant impact at one of the world's leading technology companies. The role can be based in several major US locations, including Mountain View, Chicago, New York, Los Angeles, San Francisco, or Washington D.C. Google offers a collaborative work environment and is committed to building a diverse and inclusive workforce that represents the users they serve.

Last updated 3 days ago

Responsibilities For Product Feedback Data Scientist

  • Design and implement data pipelines using Java and/or Python to process and integrate product feedback data from various sources
  • Conduct advanced statistical analysis and build sophisticated data models to identify key trends, correlations, and actionable insights from user feedback
  • Develop compelling data visualizations and presentations to communicate complex findings and strategic recommendations to audiences
  • Partner with Product and GTM teams to translate data-driven insights into concrete actions that influence product development and go-to-market strategies
  • Explore new data sources and analytical techniques to enhance our understanding of user feedback and drive greater product impact

Requirements For Product Feedback Data Scientist

Java
Python
  • Bachelor's degree in a quantitative discipline (Statistics, Economics, Mathematics, Physics) or equivalent practical experience
  • 6 years of experience in a data science or analytical role with a focus on extracting insights from datasets to drive business impact
  • Master's degree or PhD in a quantitative or scientific discipline with a strong emphasis on statistical analysis, machine learning, or data mining (preferred)
  • 4 years of experience working with product feedback data (preferred)
  • Ability to translate business questions into analytical frameworks and extract actionable insights

Benefits For Product Feedback Data Scientist

Medical Insurance
401k
  • Bonus
  • Equity
  • Benefits

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