***No C2C, OPT, or Sponsorship Available***
Join a forward-thinking team that’s transforming the energy industry. Our client, a major player in the retail energy sector, is seeking a Remote Data Scientist to drive impactful analytics and modeling initiatives. In this role, you’ll apply your skills to help shape a smarter, cleaner, and digitally enhanced energy future — one that serves over seven million customers and unlocks new possibilities for innovation, sustainability, and efficiency.
Responsibilities:
- 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
Required Qualifications:
- 0-3 years of experience in data analysis or related field
- Masters degree in a quantitative discipline or equivalent practical experience
- Experience with statistical software and database languages
- Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines
- Hands-on experience working with Databricks for data engineering, analytics, or machine learning workflows.
Preferred Qualifications:
- Experience using data science to improve customer experience and business profitability
- PhD in a quantitative discipline
- 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