Trilyon, Inc. · 2 hours ago
Data Scientist- W2 Contract -$75/hr
Trilyon, Inc. is a company specializing in data-driven solutions, and they are seeking a Data Scientist to leverage predictive modeling and machine learning techniques. The role involves collaborating with engineering partners to take models from concept to production, while working with large-scale event and sensor data.
Responsibilities
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
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