Data Scientist: ML/DL, MLOps, Digital Twin Analytics

Santee Cooper

Moncks Corner (SC)

On-site

USD 76,000 - 105,000

Full time

14 days+
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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

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.

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