Added: 2025-06-17 02:33.39
Updated: 2025-06-26 11:05.03

Senior Data Scientist, Chrome

Warsaw, Poland

Type: FULL_TIME

Category: INFORMATION_TECHNOLOGY

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Is hybrid: No
Is remote: No
Employer: Google

Minimum qualifications:


Preferred qualifications:

About the job

Chrome is a consumer, developer, and enterprise facing product and platform with users. Data-driven insights and metrics are a key part of making decisions about Chrome.

The Data Science team blends research and product knowledge to address challenges. The team leverages knowledge in advanced statistical, machine learning techniques, predictive modeling, evaluation, experimentation, forecasting, exploratory analysis, and more to drive data-informed innovation, unlock opportunities, and enhance user experiences within Chrome.

The mission is to guide Chrome's decisions and innovations through data-informed insights. As a Senior Data Scientist, you'll have a unique opportunity to work across various teams to enhance Chrome's features and understand user needs.

You will contribute to evolving Chrome into a more personalized and helpful user agent. You'll play a vital role in integrating Google's technology and adapting Chrome to meet the needs of users in their homes, workplaces, and more.

Chrome is dedicated to building a better, more open web. We’re focused on making a better browser (on both desktop and mobile) to help users take advantage of all the web has to offer in a safe and secure way.Chrome is available across all major platforms — iOS, Android, Windows, Mac, Linux and Chrome OS. We also built Chrome as an open source project so the entire web ecosystem could benefit from the latest innovations in speed, simplicity and security.

Responsibilities

  • Leverage advanced statistical methods on datasets to extract insights from events and features across different organizational sources.
  • Develop and deploy automated solutions, ranging from SQL query automation to real-time Python classification and ML modeling, to address key strategic challenges.
  • Analyze intricate product and platform usage patterns, translating data-driven insights into product strategy and engineering decisions.
  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer, and provide feedback to translate and refine business questions into analysis, evaluation metrics, or mathematical models.
  • Use custom data infrastructure or existing data models as appropriate, design and evaluate models to express and solve defined problems.
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.
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