Data Scientist, Research Chrome

About the job

Chrome is a consumer, developer, and enterprise-facing platform with billions of users. At this scale, data insights and metrics are foundational to our decision-making. We are dedicated to optimizing both the standalone app and web experiences by leveraging innovative capabilities and Generative AI.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. You 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. You will have a tremendous impact throughout Chrome, as you will have the opportunity to work with many teams that use our systems to gate features and understand users. You will work on an adopted product, influencing product and engineering directions. You will directly impact 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 datasets to extract insights from events and features across organizational sources.

• Use custom data infrastructure or existing data models as appropriate, using specialized ideas. 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 issues.

• 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.

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, with ability to articulate product questions and pull data from datasets (e.g., SQL, BigQuery or equivalent technologies).

• Excellent written and verbal communication skills and ability to translate analysis results into business recommendations.

Benefits: 

• Health and Wellbeing (Medical, dental, and vision insurance for employees and dependents)

• Financial wellbeing (Competitive compensation, regular bonus and equity refresh opportunities)

• Flexibility and time off (Paid time off, including vacation, bereavement, jury duty, sick leave, parental leave, disability, and holidays)

• Family support and care (Fertility and growing family support, parental leave and baby bonding leave)

• Community and personal development (Educational reimbursement)

• Googley extras (Inspiring spaces to work, recharge, and collaborate with fellow Googlers)

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.