Job Specifications
Now Hiring: Data Scientist
Industry: Utilities / Energy
Contract Duration- 12 months/W2
Position Summary
We are seeking an experienced Data Scientist to support the Electric Operations Excellence team within the utilities/energy industry. This role will focus on translating complex business needs into advanced analytics and machine learning solutions that drive operational excellence.
The ideal candidate will lead end-to-end data science initiatives—from model selection and training data identification to deployment and business delivery—working closely with product owners, technical leads, and internal stakeholders to deliver high-impact insights on a regular cadence.
Top Skills & Qualifications
Machine Learning & Algorithms
Hands-on experience building, training, and deploying ML models for real-world applications
Strong understanding of model evaluation, optimization, and feature engineering
Mathematics & Statistics
Solid foundation in probability, linear algebra, calculus, and statistical inference
Programming Proficiency
Strong command of Python, R, and SQL for data manipulation and model development
Presentation & Communication Skills
Ability to present insights clearly to senior leadership using visuals, dashboards, and PowerPoint presentations
Domain Knowledge (Nice to Have)
Utilities or energy industry experience
Understanding of utility data and industry context
Foundry experience and project management methodologies
Key Responsibilities
Lead development of high-complexity data science and machine learning models
Build, train, evaluate, and implement advanced analytics solutions
Translate business problems into well-defined data science use cases
Select appropriate models, algorithms, and training datasets
Communicate model performance, assumptions, and business implications to stakeholders
Prioritize analytics initiatives for maximum operational impact
Balance analytics value, model design, and technology choices with a bias toward action
Mentor junior data scientists and collaborate on complex analytical problems
Develop process models, documentation, and business artifacts supporting technical architecture
Create and manage quantitative models, forecasting tools, and simulations
Partner with cross-functional leaders and business units on analytics initiatives
Analyze business demand trends, forecasts, capacity planning, and expenditure models
Assess risks and implications of modeling assumptions and methodologies
Oversee complex projects, schedules, and work plans
Deliver customized reports and executive-level recommendations
Education & Experience Requirements
Bachelor’s degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics, or related field
Desired Skills & Experience
Experience with Python, R, Scala, SQL
Hands-on experience with Pandas, Scikit-learn, Spark, or similar frameworks
Experience with data science notebooks (Jupyter, Zeppelin, etc.)
Cloud experience (AWS, Azure, or other platforms)
Scrum/Agile team experience
Utilities or energy industry background
Experience with forecasting, Bayesian networks, and graph analytics
Strong statistical modeling expertise
Knowledge of software development methodologies and software engineering principles
Experience designing scalable data science workflows and database architectures
Strong communication skills with ability to tailor messaging to diverse audiences
About the Company
In 2010, Swoon launched an agile, client-focused team that is not only savvy in our core industries but elbow-deep, every day, getting to know the strongest talent in the technology and professional fields.
Today, Swoon is one of the fastest-growing talent and consulting firms in the U.S., Canada, Australia, and Mexico with an expanding client roster of Fortune 1000 companies, Best-of Awards, and legions of talent in our network.
We are a WBENC-certified company founded by industry leaders with 100+ years of combined exp...
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