Data Scientist

One of TEKsystems top client's is looking to hire a Senior Data Scientist.

Lead the development and production deployment of advanced forecasting models across operations. This role supports critical decision-making for multiple business units within the organization.

This position will engage in end-to-end model development—from 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.

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.

• 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
• Delivers cost‑effective, high-quality forecasting solutions that meet operational deadlines and accuracy standards

• Python Expertise:
  Advanced proficiency in Python with extensive experience in data science libraries (pandas, numpy, scikit-learn, stats models)
• 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 background in data engineering
• Cloud & Infrastructure:
  Working knowledge of AWS services (EC2, S3, Lambda, Sage Maker) 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

• Advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods
• Energy markets and renewable generation forecasting domain expertise
• Agile project management (Jira, Confluence)

• Feature engineering with weather variables and domain‑specific signals
• Model evaluation metrics (MAE, RMSE, MAPE)
• Automated data pipelines and version control (Git)

• Lead end-to-end forecasting model development from conception through production deployment
• Build automated retraining and evaluation frameworks with monitoring dashboards

• 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

This is a Contract position based out of Juno Beach, FL.

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…