Job Description

Our client is a Fortune 200 leading retail energy company focused on bringing the power of energy to people and organizations. Putting customers at the center of everything they do, they provide energy solutions to millions of people through their diverse portfolio of retail brands across North America. Take your career to the next level by working on a dynamic and innovative team that moves our world towards a sustainable energy future.

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
• Ph.D. 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 S3
• Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking