Data Science& Machine Learning - Onsite (Juno Beach FL)

We are currently looking to hire a [Data Science& Machine Learning] and we believe your skills and expertise are a better match for this role. We have an exciting career opportunity for you with one of our esteemed clients at [Juno Beach FL].

NJTECH is a globally managed IT services, IT consulting and business solutions partner. Our "High Performance Business" strategy builds our expertise in technology and consulting. We play a major role in helping our clients to achieve their objectives at the highest level; ultimately creating sustainable value to customers.

Role : Data Science& Machine Learning

Location : Onsite Juno Beach FL

Duration: Long term

. 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 market applications
• Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL
• Experience deploying production-grade ML and analytics systems in AWS, Azure, or Google Cloud Platform
• Strong foundation in statistics, linear algebra, and optimization

2. 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

3. 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

4. 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

5. 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

6. 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

7. Statistical & Mathematical Rigor

• Advanced modeling in regression, classification, and optimization
• Ability to quantify uncertainty, correlation, and elasticity across commodities
• Understanding of volatility clustering and non-linear time dependencies

8. Soft Skills

• Clear communication of analytical results to both technical and business stakeholders
• Operates effectively in time-sensitive, high-stakes environments
• Scientific rigor in documentation and model validation
• Balance of innovation (AI-driven) and practicality (trader needs)

9. Bonus / Differentiators

• 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)

NJTECH is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

NJTECH is a globally managed IT service, IT consulting and Business solutions partner. Our "High Performance Business" strategy builds our expertise in technology and consulting. Our offshore consulting plays a major role in helping clients to achieve their objectives in the highest level; ultimately creating sustainable value to customers. Come, transform your career with us and be a part of our high-performing team.