Senior Data Scientist, Chrome
Job Summary
Job Description
- Master's degree in quantitative field or equivalent experience
- 5+ years of experience using analytics to solve problems
- Proficiency in Python, R, SQL, and database querying
- Statistical modeling, machine learning, and visualization expertise
- Excellent communication and problem-solving skills
- PhD degree and 6+ years of experience
- 2+ years of experience in data science with focus on statistical modeling, machine learning, and visualization
- Experience with BigQuery
- Experience in A/B testing and experimentation
9 skills required
Job Details
Minimum qualifications:
- Master's 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).
About the job
Chrome 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 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 deepen our understanding of user needs.
Your work will contribute to evolving Chrome into a more personalized and helpful user agent. You'll play a vital role in integrating the best of 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 cutting-edge capabilities and Generative AI.
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, 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.
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