Python Dev / Data Scientist

Responsibilities Kforce has a client that is seeking a Python Dev/Data Scientist in Juno Beach, FL. Key Tasks: • Creating intelligent trading assistants or agent frameworks that monitor, forecast, and act based on real-time data • Planning, memory, and multi-agent collaboration concepts • Implementation of guardrails and ethical constraints in autonomous AI systems Forecasting & Quantitative Modeling: • Design KPIs and visual analytics for trading performance, market exposure, and forecast accuracy • Building automated insight pipelines or LLM-based analytics assistants • 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 Requirements • 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 • Experience deploying production-grade ML and analytics systems in AWS, Azure, or GCP • Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL • Strong foundation in statistics, linear algebra, and optimization Domain Expertise - Power & Commodities: • Experience modeling locational marginal prices (LMP), congestion, and portfolio risk • 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 • 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 • Hands-on experience fine-tuning or evaluating generative models for quantitative or text-based analytics • Proficient in LLMs (GPT, Llama, Mistral) and RAG (Retrieval-Augmented Generation) pipelines for automating report generation, trade rationale summaries, or market insights • 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 • Proficiency with stochastic modeling, Monte Carlo simulations, and VaR analysis • Ability to integrate weather data, grid conditions, and market signals into predictive systems The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.