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Senior Data Scientist

1 tydzień temu

Warszawa, Polska Google Pełny etat
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
~Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

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.
~ SQL, BigQuery or equivalent technologies).

Data-driven insights and metrics are a key part of making decisions about Chrome. 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.
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. 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.

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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.