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Senior Data Scientist, Chrome
GoogleWarszawa, Masovian, Poland8 days ago
Job descriptionChrome is a consumer, developer, and enterprise facing product and platform with users. Data-driven insights and metrics are a key part of making decisions about Chrome. The Data Science team blends research and product knowledge to address challenges. The team leverages knowledge in advanced statistical, machine learning techniques, predictive modeling, evaluation, experimentation, forecasting, exploratory analysis, and more to drive data-informed innovation, unlock opportunities, and enhance user experiences within Chrome. The 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 understand user needs. You will contribute to evolving Chrome into a more personalized and helpful user agent. You'll play a vital role in integrating Google's technology and adapting Chrome to meet the needs of users in their homes, workplaces, and more. 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. Leverage advanced statistical methods on datasets to extract insights from events and 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 product strategy and engineering decisions. Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer, and provide feedback to translate and refine business questions into analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, design and evaluate models to express and solve defined problems. 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. 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 integration events dental care corporate gym corporate sports team retirement pension plan saving & investment scheme corporate library no dress code coffee / tea drinks parking space for employees leisure zone extra social benefits meal passes redeployment package employee referral program opportunity to obtain permits and licenses charity initiatives extra leave
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- Python
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Senior Data Scientist • Warszawa, Masovian, Poland