Data Scientist
Esential Duties/Responsibilities:
• Adhere to our culture of humility, curiosity, and impact
• Process data using Python, PySpark, and Databricks
• Develop purchase propensity models and product recommendation models
• Learn the job while performing hands-on analytics and modeling
• Help business partners make more profitable decisions based on customer and prospect insights
Working Conditions:
• Fully remote
Minimum Requirements:
• 0-3 years of experience in data analysis or related field
• Master's degree in a quantitative discipline or equivalent practical experience
• Experience with statistical software and database languages
Preferred Qualifications:
• Experience using data science to improve customer experience and business profitability
• PhD in a quantitative discipline
• Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines
• Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing
• Proficiency with version control
• Experience with reading and writing data in AWS S3
• Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking
Esential Duties/Responsibilities:
• Adhere to our culture of humility, curiosity, and impact
• Process data using Python, PySpark, and Databricks
• Develop purchase propensity models and product recommendation models
• Learn the job while performing hands-on analytics and modeling
• Help business partners make more profitable decisions based on customer and prospect insights
Working Conditions:
• Fully remote
Minimum Requirements:
• 0-3 years of experience in data analysis or related field
• Master's degree in a quantitative discipline or equivalent practical experience
• Experience with statistical software and database languages
Preferred Qualifications:
• Experience using data science to improve customer experience and business profitability
• PhD in a quantitative discipline
• Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines
• Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing
• Proficiency with version control
• Experience with reading and writing data in AWS S3
• Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking
