TECHNEPTUNE CONSULTING INC

Data Scientist - ML & Operational Analytics

Washington, District of Columbia, USA · Contract

Sponsorship not specifiedDetected 90 days ago

PythonSQLAzureMachine LearningData EngineeringData ScienceComputer VisionLLMsStatisticsResearchExperimental DesignCollaborationProblem Solving

About the role

It is a full‑lifecycle data science role focused on solving real business problems through predictive modeling, analytics, and AI.
Approximately 60% of the role is new model development, with the remaining 40% enhancing and maintaining existing models.

Apply advanced statistical and ML techniques to large‑scale datasets (terabytes to petabytes), including: Smart‑meter data Smart‑grid and IoT data Structured (relational databases) Unstructured data (text, documents, and limited multimedia) Perform feature engineering, data validation, and quality assessment to ensure model reliability and interpretability.
Validate insights with the business and iterate based on feedback.
Own solutions end‑to‑end: problem → data → model → deployment → business adoption.
Collaborate closely with: Information architects Data engineers Project and program managers Other data scientists and analysts Ensure smooth handoff and adoption of deployed solutions.
Document methodologies, assumptions, and results to support governance and reuse.
This role is not a backend data engineering or IT support position.

PhD in Computer Science, Statistics, Mathematics, Engineering, Physics, or related field.
Experience within an Electric Utility, Energy, Infrastructure, or Industrial environment.
Knowledge of optimization techniques, including:
Linear programming Mixed‑integer optimization

Data Science Lifecycle & Collaboration Collect, cleanse, standardize, and analyze data from multiple internal and external sources.

You will support multiple initiatives across Safety and Infrastructure Analytics, with a heavy emphasis on asset health, reliability, efficiency, and operational performance.
Machine Learning & Analytics Design, develop, and deploy machine learning models including regression, classification, and time‑series models for operational use cases.
Computer vision Generative AI use cases Azure certifications are a plus.
Act as a subject matter expert in machine learning, AI, feature engineering, data mining, and statistical modeling.

This listing is sourced directly from TECHNEPTUNE CONSULTING INC's careers page and normalized into a canonical job model.