Data Scientist

RESPONSIBILITIES:
Kforce has a client that is seeking a Data Scientist in Juno Beach, FL.

Responsibilities:
* Data Scientist will create 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
* 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
* Stochastic modeling, Monte Carlo simulations, and VaR analysis
* Data governance awareness: versioning, lineage, security, and compliance
* Working with dashboards and visualization tools (Power BI, Tableau, Plotly
* Designing KPIs and visual analytics for trading performance, market exposure, and forecast accuracy
* As a Data Scientist, you will build automated insight pipelines or LLM-based analytics assistants
* Translating technical findings into clear narratives for traders and executives
* Modeling in regression, classification, and optimization

REQUIREMENTS:
* Master's or PhD in Data Science, Computer Science, Finance, Engineering, or Applied Mathematics
* Strong foundation in statistics, linear algebra, and optimization
* 5+ years of experience in machine learning or advanced analytics, with at least 2 years in energy market applications
* Experience deploying production-grade ML and analytics systems in AWS, Azure, or Google Cloud Platform
* Experience with supervised, unsupervised, and reinforcement learning for market forecasting or optimization
* Experience with data warehouses (DataBricks, Snowflake)
* Hands-on experience fine-tuning or evaluating generative models for quantitative or text-based analytics
* Familiarity with vector databases (FAISS, Pinecone, Weaviate) for retrieval-augmented 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
* Understanding of volatility clustering and non-linear time dependencies
* Proficient in LLMs (GPT, Llama, Mistral) and RAG (Retrieval-Augmented Generation) pipelines for automating report generation, trade rationale summaries, or market insight
* Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL
* Strong data architecture skills: ETL/ELT pipelines, dbt, Airflow, or Prefect
* Clear communication of analytical results to both technical and business stakeholders
* Ability to quantify uncertainty, correlation, and elasticity across commodities
* Operates effectively in time-sensitive, high-stakes environments
* Scientific rigor in documentation and model validation
* Balance of innovation (AI-driven) and practicality (trader needs)

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.

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