Data Scientist
Job Title: Data Scientist
Location: Oak Ridge TN
Experience Level: 6+ years
Company Overview:
Napakiak Environmental and Construction (NEC) is a leading provider of information technology, technology development, and environmental and construction services, specializing in Federal and Commercial projects. Our company is committed to delivering high-quality solutions that meet stringent regulatory standards and client requirements
Position Summary
NEC is seeking a highly skilled Senior Data Scientist to support enterprise data initiatives, develop advanced analytical models, and enable data-driven decision-making across engineering, manufacturing, security, and operational domains. The ideal candidate has a strong foundation in statistical modeling, machine learning, data engineering, and applied analytics, with the ability to translate complex technical insights into actionable business outcomes.
Key Responsibilities
- Design, build, and deploy predictive models, machine learning algorithms, and advanced analytics solutions to support NEC’s mission and strategic goals.
- Partner with engineering, manufacturing, cybersecurity, program management, and IT teams to identify high-impact opportunities for data science applications.
- Lead end-to-end analytical project cycles: problem scoping, data acquisition, data cleaning, feature engineering, modeling, validation, and deployment.
- Develop dashboards, data pipelines, and analytical tools that enable non‑technical users to leverage insights effectively.
- Communicate findings, model performance, and recommendations to senior leaders and technical stakeholders in a clear, concise manner.
- Ensure model robustness, fairness, and compliance with regulatory and security requirements.
- Mentor junior data scientists and contribute to best practices, standards, and reusable model frameworks.
- Maintain awareness of emerging analytical methods, tools, and technologies relevant to NEC’s mission.
Required Qualifications
- Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field (Master’s preferred).
- Minimum 6 years of industry experience in data science, machine learning, or advanced analytics.
- Demonstrated expertise in Python or R, SQL, and modern machine learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch, XGBoost).
- Strong background in statistical modeling, predictive analytics, and experimental design.
- Experience building and deploying production-grade ML models and data pipelines.
- Solid understanding of cloud platforms (Azure, AWS, or GCP) and CI/CD methodologies.
- Ability to work with structured and unstructured data from diverse sources.
- Excellent communication skills and experience presenting insights to technical and non‑technical audiences.
- U.S. citizenship (required for positions requiring government security clearance).
Preferred Qualifications
- Experience working in regulated industries such as nuclear, defense, aerospace, or government contracting.
- Familiarity with MLOps tools, containerization (Docker), orchestration (Kubernetes), or distributed computing.
- Knowledge of reliability analytics, manufacturing analytics, anomaly detection, or sensor data modeling.
- Active or eligible for a U.S. government security clearance.
All full-time employees are considered benefit eligible for company benefit programs and 401-K upon date of hire.