Data Scientist

Santee Cooper; Moncks Corner (SC); On-site; USD 76,000 - 105,000; Full time

Job summary

Santee Cooper is seeking a Data Scientist in Moncks Corner, SC to design, implement, and productionize analytics solutions that strengthen operational decision-making. You will own model lifecycle and collaborate with operations to deploy and monitor models in production.

The role is onsite, involves end-to-end delivery on moderately complex projects, and requires strong Python/R skills, ML/DL modeling, and MLOps expertise. Compensation aligns with U.S. market norms for the region.

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.

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.

Skills

Python

R

ETL development

Data analysis

ML/DL modeling

Education

Bachelor’s degree in Mathematics, Statistics, Computer Science or related field

Tools

PyTorch

TensorFlow

FastAPI/Flask

pandas

NumPy

scikit-learn

venv/poetry

MILP

LLM

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