Senior Data Scientist – ML & Operational Analytics(USC & GC)

Job Title: Senior Data Scientist – ML & Operational Analytics Location: Washington, DC (Hybrid – Local Preferred) Job Type: Contract (W2 Only) 🚀 Role Overview: We’re hiring a Senior Data Scientist to drive end-to-end ML solutions for real-world operational problems (NOT a BI/ETL role). You will work directly with business stakeholders to define problems, build models, and deploy production-ready solutions. 🔑 Must-Have Skills: • 5+ years Data Science (hands-on, production ML) • Strong in Python, SQL, R • Experience building & deploying ML models (Regression, Classification, Time Series) • End-to-end ownership: Problem → Data → Model → Deployment → Adoption • Strong feature engineering + data quality + leakage prevention • Solid foundation in statistics, inference, model validation • Experience working directly with business stakeholders 💡 Nice to Have: • Azure ML / Cloud ML deployment • Utility / Energy / Infrastructure domain • Optimization (Linear / Mixed Integer) • Exposure to GenAI / Computer Vision 📌 Key Responsibilities: • Build and deploy ML models on large-scale operational datasets • Work with smart grid / IoT / structured + unstructured data • Translate business problems into ML solutions • Communicate insights to non-technical stakeholders • Enhance and maintain existing models ❗ Important: • Must have real production ML experience (not just modeling/research) • Must be comfortable working with ambiguous business problems • Not suitable for ETL/Data Engineering/BI-only profiles 📍 Interview Process: • 2 Rounds (Technical + Management) • Immediate hiring