- Experience with Databricks, Spark/PySpark, or comparable distributed-data technologies.
- Experience with dimensional modeling, warehouse/lakehouse design, metadata management, or data catalogs.
- Experience with workflow orchestration, CI/CD, model versioning, experiment tracking, or model monitoring.
- Experience with time-series or probabilistic forecasting, Bayesian methods, simulation, or optimization.
- Familiarity with XGBoost, LightGBM, PyMC, PyTorch, or TensorFlow, without an expectation of expertise in every framework.
- Experience with utility datasets, DER registries, load forecasting, sensor analytics, or engineering automation.
- Master’s degree in a relevant quantitative or technical discipline.
Be a part of an innovative team shaping the grid of the future through advanced energy intelligence. For more than half a century, Electric Power Engineers (EPE) has partnered with power and energy clients across the globe, providing consulting expertise and energy intelligence software solutions for complex engineering and grid modeling challenges. As leaders in the renewables space, we are focused on building a modern, secure, and resilient grid. Join us in making an impact on the communities we serve and the environment in which we live. Together we can transform the future of energy.
How we support you
- Comprehensive health and wellness benefits including medical, dental, and vision with 100% premium coverage for you
- Generous PTO and paid holidays
- MyShare Employee Ownership Program
- Work with industry leaders
- 401K, up to a 4% match (100% vested from day 1)
Location: This position remote within the U.S.
Travel: Occasional travel may be needed (10% or less)