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
