Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship
Skills
energy forecasting
Data Scientist
Python
Job Details
Job Description
Note- Must have background in energy forecasting, thermal/comfort modeling
Required Skills & Experience
- 5-8 Years of experience
- Proven expertise in predictive modeling, forecasting, and applied machine learning techniques (e.g., regression, gradient boosting, time-series analysis, causal inference).
- Hands-on experience working with large-scale event and sensor data, ideally within energy, IoT, or device-driven ecosystems.
- Strong proficiency in Python (including Pandas, NumPy, scikit-learn, PySpark)
- Experience with distributed computing environments such as Spark, Databricks, or Google Cloud Platform.
Nice to Have Skills & Experience
- Expertise in energy forecasting, thermal/comfort modeling, or Demand Response optimization
- Deep understanding of energy markets, DER, and Virtual Power Plant (VPP) concepts
- Experience applying LLM or generative AI in analytics and optimization
- Advanced degree (MS/PhD) in a quantitative field
- 7+ years of industry experience with proven technical leadership on high-impact modeling initiatives
Job Description
Responsibilities:
- Design and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance.
- Leverage data-driven insights to enhance the accuracy and reliability of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies.
- Collaborate with data engineering to modernize legacy structures into robust, documented, and reusable data products that support machine learning and real-time analytics.
- Partner with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences.
- Translate complex model outputs into clear, actionable recommendations for both technical and non-technical stakeholders.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.