Data Scientist

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