Description This position will engage in end-to-end model developmentfrom conception through production deployment, including advanced feature engineering, weather data integration via APIs, model optimization, and performance monitoring. The ideal candidate will design production-ready forecasting solutions integrated with internal systems, AWS cloud infrastructure, implementing robust error handling, alerting mechanisms, and recovery procedures. The successful candidate should possess deep expertise in time-series forecasting, machine learning operations, and building scalable data pipelines. They must demonstrate the ability to transform complex datasets into actionable forecasts that drive real-time operational decisions in the energy sector. We are looking for someone who has a passion for solving challenging forecasting problems and can deliver production-grade solutions in a dynamic operational environment with stringent accuracy requirements and time-sensitive obligations. Key Expectations: Understands business priorities and takes ownership of the complete model lifecycle from development to production deployment Demonstrates strong communication and collaboration skills working with trading, operations, and engineering teams Works effectively within Agile frameworks and actively participates in scrum ceremonies Deliver cost-effective, high-quality forecasting solutions that meet operational deadlines and accuracy standards Job Overview Required Skills & Experience: Python Expertise: Advanced proficiency in Python with extensive experience in data science libraries (pandas, numpy, scikit-learn, statsmodels) Time-Series Forecasting: Proven track record developing and deploying production forecasting models (ARIMA, SARIMAX, gradient boosting methods) Production Deployment: Demonstrated experience taking models from research/development through production deployment with proper versioning, monitoring, and maintenance API Integration: Experience consuming and integrating weather APIs and external data sources into forecasting pipelines, with a strong knowledge in data engineering Cloud & Infrastructure: Working knowledge of AWS services (EC2, S3, Lambda, SageMaker) and Infrastructure-as-Code practices Database Management: Proficiency with SQL databases and experience with large-scale data queries and optimization Dashboard Development: Experience building interactive dashboards using Streamlit, Plotly, or similar frameworks for stakeholder communication Preferred Skills & Experience: Advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods Energy markets and renewable generation forecasting domain expertise Agile project management (Jira, Confluence) Technical Competencies: Feature engineering with weather variables and domain-specific signals Model evaluation metrics (MAE, RMSE, MAPE) Automated data pipelines and version control (Git) Job Duties & Responsibilities Model Development & Production: Lead end-to-end forecasting model development for Load, Solar, and Wind from conception through production deployment Build automated retraining and evaluation frameworks with monitoring dashboards Data & Infrastructure: Develop data connectors for weather APIs and data warehouse systems Design scalable pipelines for real-time and batch forecasting operations Create interactive dashboards (Streamlit) and present insights to stakeholders Skills Python, Data science, Predictive modelling, forecasting, aws Job Type & Location This is a Contract position based out of Juno Beach, FL. Pay and Benefits The pay range for this position is $55.00 - $70.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Juno Beach,FL. Application Deadline This position is anticipated to close on Mar 25, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

The role requires advanced proficiency in Python with extensive experience in data science libraries such as pandas, numpy, scikit-learn, and statsmodels. Proven track record in developing and deploying production forecasting models using methods like ARIMA, SARIMAX, and gradient boosting is necessary. Experience with consuming and integrating weather APIs and external data sources into forecasting pipelines is expected. A working knowledge of AWS services including EC2, S3, Lambda, and SageMaker, along with Infrastructure-as-Code practices, is required. Proficiency with SQL databases and experience with large-scale data queries and optimization are also essential. Experience building interactive dashboards using Streamlit, Plotly, or similar frameworks is needed for stakeholder communication.