Trilyon, Inc. · 3 hours ago
Data Scientist
Trilyon, Inc. has been providing global workforce solutions and staffing services for over 16 years. They are seeking a Senior Data Scientist to design and deploy predictive models for intelligent home energy decisions and optimize energy operations through data-driven insights.
Responsibilities
We are seeking a Sr Data Scientist to design and deploy predictive models that enable intelligent home energy decisions: from forecasting comfort and cost to optimizing EV charging and demand response events
Develop Predictive Models: Build and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance
Optimize Energy Operations: Use data-driven insights to improve the reliability and precision of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies
Advance Data Quality & Scalability: Partner with data engineering to transform legacy data structures into robust, documented, and reusable data products that support ML and real-time analytics
Cross-Functional Collaboration: Work closely with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences
Communicate Impact: Translate complex model outcomes into actionable insights for both technical and non-technical audiences
Qualification
Required
Proven expertise in predictive modeling, forecasting, and applied ML (e.g., regression, gradient boosting, time-series, causal inference)
Experience working with large-scale event and sensor data, preferably within energy, IoT, or device-driven ecosystems
Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, GCP)
Ability to take models from concept to production in collaboration with engineering partners
Skilled in statistical analysis, feature engineering, and experimental design (e.g., A/B testing)
Excellent communication and storytelling skills for complex, data-driven topics
Preferred
Experience with energy forecasting, thermal modeling, or Demand Response optimization
Understanding energy markets, Distributed Energy Resources (DER), and Virtual Power Plant (VPP) concepts
Familiarity with LLM or generative AI applications in analytics and optimization
Advanced degree (MS/PhD) in a quantitative field such as Statistics, Computer Science, or Engineering
3+ years of industry experience, including demonstrated technical leadership on high-impact modeling initiatives