Data Scientist, Chrome

Google

Warszawa

Type of work

Full-time

Experience

Mid

Employment Type

Permanent

Operating mode

Office

Google

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another.

Company profile

Tech stack

Python

regular

SQL

regular

R

regular

BigQuery

regular

Job description

Minimum qualifications:

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:

5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
2 years of work experience in data science or quantitative analytics with focus on statistical modeling, machine learning, and visualization.
Experience, education/training, or demonstrated interest in machine learning
Excellent problem-solving skills and business judgment, articulating product questions, pulling data from datasets (SQL, BigQuery or equivalent technologies).
Excellent written and verbal communication skills and ability of translating analysis results into business recommendations.

About the job

Chrome is a consumer, developer and enterprise facing product and platform with billions of users. Data insights and metrics are a part of making decisions about Chrome. Your work will have tremendous impact throughout Chrome, as you have an opportunity to work with the many teams that use our systems to gate features and understand users.

As a Data Scientist, you will have a unique opportunity to work across various teams to enhance Chrome's features and our understanding of user needs.

Your work will contribute to evolving Chrome into a more personalized and helpful user agent. You will play a role in integrating Google's technology and adapting Chrome to meet the needs of users in their homes, workplaces, and beyond. In addition to our consumer and enterprise users, we're dedicated to improving and optimizing both the standalone app and web experiences through capabilities and Generative AI.

You will work on an adopted product, influencing product and engineering directions. Your work will directly impact of users by informing feature development and user understanding.

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 massive, datasets to extract insights from billions of events and thousands of features across organizational sources.
Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
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 actionable product strategy and engineering decisions.
Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.

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.

Undisclosed Salary

Permanent