Senior Energy Data Scientist; onsite

14224 - Senior Energy Data Scientist (onsite) – Juno Beach, FL

Start Date: ASAP

Type: Temporary Project

Estimated Duration: 12 months with possible extensions

Work Setting: 100% of the time at the Client’s site. No telecommuting or remote work.

• Availability to work 100% of the time at the Client’s site in Juno Beach, FL (required)
• Experience with machine learning or advanced analytics (5+ years)
• Experience with energy, power, or bündeln markets (2+ years)
• Experience with Python (pandas, Num Py, scikit-learn, PyTorch, Tensor Flow) and SQL
• Experience deploying production-grade ML and analytics systems in AWS, Azure, or GCP
• Experience modeling locational marginal prices (LMP), congestion, and portfolio risk
• Experience with ML/AI model development, fine‑tuning, and deployment (supervised, unsupervised, reinforcement learning, LLMs, generative AI, RAG pipelines)
• Experience with Aprove frameworks and autonomous decision systems (Lang Chain, Llama Index, CrewAI)
• Experience with statistics, linear algebra, optimization, feature engineering, and model interpretability
• Experience with time‑series forecasting and scenario modeling (ARIMA, Prophet, LSTM, XGBoost, Monte Carlo, VaR)
• Experience with power and commodity markets, trading instruments, and regulatory datasets (ISO/RTO, DA/RT, FTRs, CRRs, PPAs, futures, swaps, FERC, EIA)
• Experience with data engineering and architecture (ETL/ELT, dbt, Airflow, Prefect, cloud warehouses like Databricks/Snowflake)
• Experience with vector databases for retrieval‑augmented analytics (FAISS, Pinecone, Weaviate)
• Experience with analytics and visualization tools (Power BI, Tableau, Plotly)
• Experience integrating external data (weather, grid, market signals) into predictive models
• Master’s or PhD in Data Science, Computer Science, Finance, Engineering, or Applied Mathematics

• Develop and integrate applications into the technical infrastructure and business processes
• Collaborate with analysts to analyze, design, develop, test, debug, implement, maintain, and enhance systems
• Design, deploy, and optimize ML/AI models for energy and commodity market forecasting
• Build and fine‑tune generative AI models (LLMs, RAG pipelines) for automated analytics and market insights
• Create autonomous agentic systems or trading assistants for real‑time monitoring, forecasting, and decision‑making
• Perform time‑series forecasting and scenario modeling (ARIMA, Prophet, LSTM, XGBoost) for market and renewable generation
• Implement stochastic modeling, Monte Carlo simulations, and VaR analysis for trading, hedging, or dispatch strategies

• Gain experience with one of the world’s largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company
• Work with a great team of professionals and learn the newest technologies and approaches
• Enjoy our Client’s wonderful campus with top‑notch facilities for work and recreation
• Benefit from multiple project extensions
• Receive support and advice from Vitaver consultants who are already working at our Client’s site
• Get extra cash by participating in the Vitaver Successful Completion Bonus Program
• Always get paid in full and on time