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Job description
The Data Scientist at Santee Cooper designs, implements, and productionizes advanced analytics solutions to strengthen operational decision-making. This onsite role in Moncks Corner, SC leads end-to-end delivery on moderately complex projects, with ownership of model quality and lifecycle and close collaboration with operations to deploy and monitor models in production.
Key Responsibilities
Lead end-to-end development of ML/DL models for forecasting, anomaly detection, classification, or surrogate modeling, including evaluation of trade-offs and selection of appropriate algorithms.
Design and implement mid-complexity optimization models (MILP and heuristics), and integrate them with learned models to support decision workflows such as maintenance scheduling, dispatch, and demand response.
Develop simulation experiments and digital twin-style workflows for scenario analysis and capacity planning.
Build robust feature engineering pipelines and coordinate with data engineering to productionize datasets, including feature stores and incremental pipelines.
Apply and extend LLM capabilities for automation tasks such as intelligent assistants, summarization, and data augmentation, using safe prompt engineering and light fine-tuning where appropriate.
Implement MLOps best practices including automated training, model versioning, CI/CD, monitoring, and alerting for drift and performance.
Perform rigorous model validation using back testing, cross validation, uncertainty quantification, sensitivity analyses, and held-out test data strategies.
Document models and assumptions, and deliver reproducible artifacts and dashboards for stakeholders.
Required Qualifications
Bachelor’s degree in Mathematics, Statistics, Computer Science or related field.
Bachelor’s degree in Mathematics, Statistics, Computer Science or related field plus 2 years experience as an ETL Developer and/or Data Analyst.
Proficiency in Python (pandas, NumPy, scikit-learn; plus PyTorch/TensorFlow for deep learning; FastAPI/Flask for services; and venv/poetry).
Working familiarity with R for analysis when needed.
Consideration for Data Scientist I or II.
Education
Bachelor’s degree in Mathematics, Statistics, Computer Science or related field.
Experience
Minimum 2 years experience (ETL Developer and/or Data Analyst).
Location and Salary
Location: Moncks Corner, SC (onsite)
Compensation: USD 75,500 - 105,210 per year
Technology Stack
Python, pandas, NumPy, scikit-learn
PyTorch, TensorFlow
FastAPI, Flask
venv, poetry
R
MILP
LLM
CI/CD
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Worksite address
moncks corner, SC, 29461, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.