Vitaver & Associates, Inc
Senior Energy Data Scientist (onsite)
Vitaver & Associates, Inc, Juno Beach, Florida, United States
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.
Requirements
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, NumPy, scikit-learn, PyTorch, TensorFlow) 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 (LangChain, LlamaIndex, 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
Responsibilities
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
Why Apply?
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
#J-18808-Ljbffr
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.
Requirements
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, NumPy, scikit-learn, PyTorch, TensorFlow) 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 (LangChain, LlamaIndex, 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
Responsibilities
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
Why Apply?
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
#J-18808-Ljbffr