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IT Software Developer Analyst- Data Science & Analytics
VDart
- United States
- United States
About
Job Location: Juno Beach
Job Type: Long-term Contract
Core Qualifications Master's or PhD 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 Domain Expertise - Power & Commodities
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) Machine Learning & AI Expertise
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 Agentic & Autonomous Decision Systems
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 Forecasting & Quantitative Modeling
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 Data Infrastructure & Engineering
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 Analytics, Visualization & Communication
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
Languages
- English
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