Description

Responsibilities:

Essential 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

Education: Bachelors Degree

Additional client information: