Senior Data Scientist, Chrome

Job Description

: Senior Data ScientistLocation: Warsaw, PolandExperience Level: MidAbout the JobChrome is a consumer, developer and enterprise facing product and platform with billions of users. Data-driven insights and metrics are a key 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. Our Data Science Team blends research and product expertise to address complex challenges. We leverage a mix of theoretical and practical knowledge in advanced statistical, machine learning techniques, predictive modeling, human eval, experimentation, forecasting, exploratory analysis, and more to drive data-informed innovation, unlock opportunities, and enhance user experiences within Chrome.Our mission is to guide Chromes decisions and innovations through data-informed insights. As a Senior Data Scientist, youll have a unique opportunity to work across various teams to enhance Chromes features and deepen our understanding of user needs. Your work will contribute to evolving Chrome into a more personalized and helpful user agent. Youll play a vital role in integrating the best of Googles technology and adapting Chrome to meet the needs of users in their homes, workplaces, and beyond. In addition to our consumer and enterprise users, were dedicated to improving and optimizing both the standalone app and web experiences through cutting-edge capabilities and Generative AI.Chrome is dedicated to building a better, more open web. Were 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, complex datasets to extract insights from billions of events and thousands of 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 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.
• 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.

Minimum Qualifications

• Masters degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
• 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 3 years of work experience with a PhD degree.

Preferred Qualifications

• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with 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 communication skills and ability to translate analysis results into business recommendations.
• Distinctive problem solving skills and impeccable business judgment. Good at articulating product questions, pulling data from large datasets (e.g., SQL, BigQuery or equivalent technologies).

Additional InformationInformation collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Keyskills :
statistical analysis machine learning data visualization coding (python r) sql querying security linux os mobile problem solving windows infrastructure