Product Feedback Data Scientist

Google; Chicago (IL); On-site; USD 166,000 - 244,000; Full time

Job summary

A leading company is seeking a Product Feedback Data Scientist to transform product feedback into strategic insights. This role involves designing data pipelines, conducting advanced analysis, and collaborating closely with product teams to drive impactful decisions. The ideal candidate will have a strong background in statistical analysis and experience with product feedback data. The position offers a competitive salary and the opportunity to work in a dynamic environment.

Qualifications

• 6 years of experience in a data science or analytical role.
• 4 years of experience working with product feedback data.

Responsibilities

• Design and implement data pipelines using Java and/or Python.
• Conduct advanced statistical analysis and build data models.
• Develop data visualizations to communicate findings.

Skills

Statistical Analysis

Machine Learning

Data Mining

Data Visualization

Education

Bachelor's degree in a quantitative discipline

Master’s degree or PhD in a quantitative or scientific discipline

Tools

Java

Python

Job description

Join to apply for the Product Feedback Data Scientist role at Google.

This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position, you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.

Minimum qualifications:

• 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.

Preferred qualifications:

• Master’s degree or PhD in a quantitative or scientific discipline with a strong emphasis on statistical analysis, machine learning, or data mining.
• 4 years of experience working with product feedback data.
• Ability to translate business questions into analytical frameworks and extract actionable insights.

About The Job

As a Product Feedback Data Scientist, you will be instrumental in transforming product feedback into strategic insights that drive product development and Go-To-Market strategies. You will design and execute complex analytical projects, focusing on building robust data pipelines and sophisticated data models to uncover key user pain points, predict future needs, and identify significant trends within vast datasets of user feedback.

You will collaborate closely with Product Managers, Engineering, and GTM teams, acting as a thought leader in data-driven decision-making. This involves proactively identifying strategic analytical opportunities and working on ambiguous problems. You will own the end-to-end process of transforming raw feedback into impactful insights, building self-service dashboards, and ensuring that data effectively informs product roadmaps and commercialization efforts.

The Go-to-Market Operations (GtM) team ensures Google's complex and ever-evolving Ads business runs smoothly. We are instrumental in setting go-to-market strategy and ensuring flawless execution and operations. We have teams embedded in each of the major Ads business areas as well as global teams that work across the business areas. Team members are analytical and strategic, with a pragmatic sense of how to get things done.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Within the range, individual pay is influenced by work location, skills, experience, and education. Your recruiter can share more during the hiring process.

Please note that the listed compensation reflects the base salary only and does not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• 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.
• Partner with Product and GTM teams to translate data-driven insights into concrete actions influencing product development and go-to-market strategies.
• Explore new data sources and analytical techniques to enhance understanding of user feedback and drive product impact.

Google is proud to be an equal opportunity workplace and 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, in accordance with legal requirements. For accommodations, please complete our Accommodations for Applicants form.

Additional Information

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Information Technology and Engineering
• Industries: Information Services and Technology, Information and Internet

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