DATA SCIENTIST

Essential Job Tasks

• Leads end-to-end development of ML/DL models for forecasting, anomaly detection, classification, or surrogate modeling; evaluates trade-offs and selects appropriate algorithms.
• Designs and implements mid-complexity optimization models (MILP/heuristics) and integrates them with learned models to support decision workflows (maintenance scheduling, dispatch, demand response).
• Develops simulation experiments and digital twin-style workflows for scenario analysis and capacity planning.
• Develops robust feature engineering pipelines and collaborates with data engineering to productionize datasets (feature stores, incremental pipelines).
• Applies and extends LLM capabilities for automation tasks (intelligent assistants, summarization, data augmentation) using safe prompt engineering and light fine-tuning where appropriate.
• Implements MLOps best practices: automated training, model versioning, CI/CD, monitoring, and alerting for drift/performance.
• Performs rigorous model validation: back testing, cross validation, uncertainty quantification, sensitivity analyses, and test data holding strategies.
• Documents models, assumptions, and provides reproducible artifacts and dashboards for stakeholders.

Position Requirements

• Data Scientist I: Bachelor’s degree in Mathematics, Statistics, Computer Science or related field.
• Data Scientist II: Bachelor’s degree in Mathematics, Statistics, Computer Science or related field + 2 years experience as an ETL Developer and/or Data Analyst.

Compensation Information

• Data Scientist I: $75,500 - $94,350 (min. - mid.)
• Data Scientist II: $84,180 - $105,210 (min. - mid.)