Crescent Solutions ยท 1 day ago
Data Scientist
Juno Beach, FL
Contract
Onsite
Senior Level
$50/hr - $55/hr
5+ years expCrescent Solutions is focused on data science and analytics within the energy and commodities markets. They are seeking a Data Scientist who will leverage advanced machine learning techniques to support power commodity trading and develop intelligent decision systems.
CRMHuman ResourcesInformation TechnologyStaffing Agency
No H1B
Hiring Manager
Michael French
Responsibilities
Data Science & Analytics & Machine Learning for Power Commodity Trading
Focus is on the Data Science within the Energy, Power or Commodities Markets
Understanding of power market dynamics (generation, transmission, demand forecasting, ISO/RTO markets such as PJM, ERCOT, MISO, CAISO)
Familiarity with trading instruments: DA/RT markets, FTRs, CRRs, PPAs, futures, and swaps
Knowledge of natural gas, renewables, and carbon markets
Experience modeling locational marginal prices (LMP), congestion, and portfolio risk
Understanding of regulatory and compliance data (FERC, EIA, ISO market data)
Experience with supervised, unsupervised, and reinforcement learning for market forecasting or optimization
Proficient in LLMs (GPT, Llama, Mistral) and RAG (Retrieval-Augmented Generation) pipelines for automating report generation, trade rationale summaries, or market insights
Hands-on experience fine-tuning or evaluating generative models for quantitative or text-based analytics
Familiarity with agentic AI frameworks (LangChain, LlamaIndex, CrewAI) for autonomous data gathering, analysis, and decision support
Strong understanding of feature engineering, model interpretability, and bias control
Experience creating intelligent trading assistants or agent frameworks that monitor, forecast, and act based on real-time data
Familiarity with planning, memory, and multi-agent collaboration concepts
Implementation of guardrails and ethical constraints in autonomous AI systems
Time series modeling (ARIMA, Prophet, LSTM, XGBoost) for price, load, or renewable generation forecasting
Optimization and scenario modeling for trading positions, hedges, or dispatch strategies
Proficiency with stochastic modeling, Monte Carlo simulations, and VaR analysis
Ability to integrate weather data, grid conditions, and market signals into predictive systems
Strong data architecture skills: ETL/ELT pipelines, dbt, Airflow, or Prefect
Experience with data warehouses (DataBricks, Snowflake)
Familiarity with vector databases (FAISS, Pinecone, Weaviate) for retrieval-augmented analytics
Data governance awareness: versioning, lineage, security, and compliance
Strong experience with dashboards and visualization tools (Power BI, Tableau, Plotly)
Ability to design KPIs and visual analytics for trading performance, market exposure, and forecast accuracy
Experience building automated insight pipelines or LLM-based analytics assistants
Skilled in translating technical findings into clear narratives for traders and executives
Qualification
Required
Master's in Data Science, Computer Science, Finance, Engineering, or Applied Mathematics
5+ years of experience in machine learning or advanced analytics, with at least 2 years in energy, power, or commodities markets
Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL
Experience deploying production-grade ML and analytics systems in AWS, Azure, or GCP
Strong foundation in statistics, linear algebra, and optimization
Understanding of power market dynamics (generation, transmission, demand forecasting, ISO/RTO markets such as PJM, ERCOT, MISO, CAISO)
Familiarity with trading instruments: DA/RT markets, FTRs, CRRs, PPAs, futures, and swaps
Knowledge of natural gas, renewables, and carbon markets
Experience modeling locational marginal prices (LMP), congestion, and portfolio risk
Understanding of regulatory and compliance data (FERC, EIA, ISO market data)
Experience with supervised, unsupervised, and reinforcement learning for market forecasting or optimization
Proficient in LLMs (GPT, Llama, Mistral) and RAG (Retrieval-Augmented Generation) pipelines for automating report generation, trade rationale summaries, or market insights
Hands-on experience fine-tuning or evaluating generative models for quantitative or text-based analytics
Familiarity with agentic AI frameworks (LangChain, LlamaIndex, CrewAI) for autonomous data gathering, analysis, and decision support
Strong understanding of feature engineering, model interpretability, and bias control
Experience creating intelligent trading assistants or agent frameworks that monitor, forecast, and act based on real-time data
Familiarity with planning, memory, and multi-agent collaboration concepts
Implementation of guardrails and ethical constraints in autonomous AI systems
Time series modeling (ARIMA, Prophet, LSTM, XGBoost) for price, load, or renewable generation forecasting
Optimization and scenario modeling for trading positions, hedges, or dispatch strategies
Proficiency with stochastic modeling, Monte Carlo simulations, and VaR analysis
Ability to integrate weather data, grid conditions, and market signals into predictive systems
Strong data architecture skills: ETL/ELT pipelines, dbt, Airflow, or Prefect
Experience with data warehouses (DataBricks, Snowflake)
Familiarity with vector databases (FAISS, Pinecone, Weaviate) for retrieval-augmented analytics
Data governance awareness: versioning, lineage, security, and compliance
Strong experience with dashboards and visualization tools (Power BI, Tableau, Plotly)
Ability to design KPIs and visual analytics for trading performance, market exposure, and forecast accuracy
Experience building automated insight pipelines or LLM-based analytics assistants
Skilled in translating technical findings into clear narratives for traders and executives
Company
Crescent Solutions
Crescent Solutions is a staffing and recruiting company offering IT professionals and services.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Brian Fischbein
CEO and Co-Founder
Wayne Karro
Independent Consultant - CFO
Company data provided by crunchbase