Senior Data Scientist, Research, Chrome Data Science

Google; Waterloo; On-site; CAD 80,000 - 150,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to join their innovative team. This role offers the chance to leverage advanced statistical methods and machine learning techniques on massive datasets to extract insights that drive product strategy. You'll collaborate with diverse teams to translate complex data into actionable recommendations, enhancing user experiences across a widely used platform. If you're passionate about data and eager to make a significant impact in a fast-paced environment, this opportunity is perfect for you.

Qualifications

• Master's degree or PhD in a quantitative field required.
• 5+ years of experience in analytics and coding.

Responsibilities

• Leverage advanced statistical methods on massive datasets.
• Analyze product usage patterns and translate insights into strategy.

Skills

Analytics

Statistical Analysis

Machine Learning

Python

R

SQL

Education

Master's degree in Statistics

PhD in a related field

Job description

Senior Data Scientist, Research, Chrome Data Science

Company: Google

Location: Waterloo, ON, Canada

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum Qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 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.
• Knowledge in data, metrics, analysis and trends.
• Knowledge of measurement, statistics and program evaluation.

About the Job

Chrome’s mission is to make the web work better for you. We do this by evolving Chrome, which serves the world and Google as both a product for billions of users and a platform (i.e. Chromium and related components that advance the open web and open media technologies). 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 platform, Chrome envisions a fast, safe, capable platform and growing web for generations of users and developers. As a product, Chrome imagines a more helpful, adaptive agent that helps people with their multifaceted needs. Chrome's goal is to redefine browsing by delivering unparalleled safety, speed, efficiency, and ease of use, and integrating with GenAI and Google's web products, to understand user needs and provide personalized experiences.

Our Data Science Team blends research and product expertise to address 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.

Responsibilities

• Leverage advanced statistical methods on massive, complex datasets to extract insights from billions of events and thousands of features across organizational sources.
• Analyze intricate product and platform usage patterns, translating data-driven insights into actionable product strategy and developing 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.
• Make clear, concise products and developing recommendations to drive major impact.

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.

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.