Data Scientist, Research Chrome

This role is based in Warsaw, Poland.

Responsibilities:

• Leverage advanced statistical methods on datasets to extract insights from events and features across organizational sources.
• Use custom data infrastructure or existing data models as appropriate, using specialized ideas. 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 issues.
• 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.

Minimum qualifications:

• Master's 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.

Preferred qualifications:

• 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 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 problem-solving skills and business judgment, with ability to articulate product questions and pull data from datasets (e.g., SQL, BigQuery or equivalent technologies).
• Excellent written and verbal communication skills and ability to translate analysis results into business recommendations.