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Justin Coleman

@justincoleman1

Staff Data Scientist at ScienceSoft modeling nodal power markets and developing forecasting methods for the energy sector.

United States

Message

At ScienceSoft, I led the design and evolution of power market models for nodal electricity markets. I also developed forecasting methods in Python and Kubernetes and implemented market-clearing algorithms using mixed-integer linear programming.

At IBM Consulting, I designed data solutions and mathematical models for energy-sector clients, including forecasting tools and Python data pipelines. I mentored junior data scientists and contributed market insights to product strategy discussions.

Earlier, at Defense Unicorns, I developed economic models for renewable energy investments and optimization models for electricity markets. I began in energy analytics at Webhead, assisting with analytical frameworks and data preparation.

Experience

Work history, roles, and key accomplishments

Staff Data Scientist - Power and Renewables

ScienceSoft

May 2025 - Oct 2026 (1 year 5 months)

Led the design and evolution of large-scale fundamental power market models, integrating advanced optimization techniques for nodal electricity markets. Developed forecasting methodologies using Python and Kubernetes, and mentored junior data scientists.

Python Kubernetes MILP Clearing and Settlement Data Engineering Generative AI Optimization Forecasting Simulation Technical Leadership Mentorship

Senior Data Scientist

IBM Consulting

Mar 2017 - May 2025 (8 years 2 months)

Designed and implemented data solutions for energy sector clients, optimizing energy usage and operational efficiency. Developed mathematical modeling techniques for wholesale electricity market assessments and mentored junior data scientists.

Python Data Pipelines API Development Mathematical Modeling Optimization Forecasting Statistical Analysis AI Analytics Mentorship

Data Scientist

Defense Unicorns

Sep 2011 - Feb 2017 (5 years 5 months)

Conducted market analyses and developed economic models to support investment decisions in renewable energy. Designed advanced optimization models for electricity markets and led training sessions for junior data scientists.

Python Statistical Analysis Machine Learning Optimization Forecasting Simulation Market Modeling Mentorship

Data Analyst

Webhead

Apr 2010 - Aug 2011 (1 year 4 months)

Assisted in developing analytical frameworks for energy market assessments and conducted data cleaning and preprocessing. Collaborated on data projects to extract actionable insights from large-scale datasets.

Data Cleaning data preprocessing Data Analysis Reporting