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 Chromes 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 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 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.
requirements-expected :
Masters 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.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
remote work opportunities
fruits
corporate products and services at discounted prices
