Data Scientist

Data Scientist You’ll play a key role in turning complex data into actionable insights that drive business and operational decisions. Working with large-scale datasets—including time-series, structured, and unstructured data—you’ll design, build, and deploy machine learning models that support real-world use cases. You’ll collaborate cross-functionally with data engineers, architects, and business stakeholders to translate requirements into scalable analytical solutions. This role blends hands-on modeling with stakeholder communication, ensuring insights are both technically sound and business-relevant. What You’ll Be Doing: • Build and deploy machine learning models (regression, classification, time-series) • Perform data preparation, cleansing, and feature engineering • Analyze large-scale datasets (including IoT/smart grid data) • Apply statistical modeling and advanced analytics to uncover insights • Translate findings into clear, actionable recommendations for stakeholders • Partner with cross-functional teams to support operational and strategic initiatives • Contribute to best practices in AI/ML, data science, and analytics Must Haves: • 5+ years of experience in data science or advanced analytics • Strong programming skills in Python, R, and SQL • Experience with machine learning frameworks and statistical modeling • Solid foundation in probability, statistics, and experimental design • Experience working with large, complex datasets Nice to Have: • Advanced degree (MS or PhD) in a quantitative field • Experience in utilities, energy, or similar industries • Familiarity with Azure Machine Learning or cloud-based ML platforms • Experience with optimization techniques (linear programming, etc.) Callouts: • Hybrid schedule (Tues–Thurs onsite in Washington, DC) • Hands-on ML role with real operational impact • Exposure to large-scale data (terabyte/petabyte level)