Requirements

Expected technologies

Python

SQL

R

Our requirements

• 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.

Optional

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

Your responsibilities

• 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.