Data Scientist (Secret Clearance Required)

Great Hill Solutions, LLC is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn.

Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation.

Great Hill is seeking a remote Data Scientist with an active Secret Clearance ready to support a dynamic, innovative acquisition program. The ideal candidate for this role must be comfortable working in a transparent, collaborative team environment and possess outstanding communication, leadership, critical thinking, and problem-solving skills.

Roles and Responsibilities include, but are not limited to:

• Azure Cloud Support

  • Design and implement scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, and Databricks.
  • Manage and optimize data storage solutions including Azure Data Lake, Blob Storage, and SQL Databases.
  • Apply performance tuning techniques such as partitioning, indexing, and caching.
  • Ensure compliance with DoD and FedRAMP standards through RBAC, data encryption, and network security.
  • Monitor and maintain system health using Azure Monitor, Log Analytics, and Application Insights.

  DevSecOps Integration

  • Implement Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates for consistent Azure resource provisioning.
  • Integrate data workflows into CI/CD pipelines using Azure DevOps or GitHub Actions for automated testing and deployment.
  • Embed security automation (e.g., static code analysis, vulnerability scanning) into the development lifecycle.
  • Package and deploy data services using Docker and Kubernetes (AKS).
  • Maintain version control and collaboration using Git.

  Mission-Specific Contributions

  • Support the institutionalization of a centralized architecting environment for enterprise-wide data integration.
  • Enable secure and flexible data operations that support training realism, threat emulation, and test-based decision-making.
  • Collaborate with cross-functional teams to align data solutions with MDO objectives and CTC operational needs.

Basic Qualifications:

• Active Secret clearance with the ability to obtain a Top Secret
• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related field.
• 3+ years of experience in data engineering or data science roles.
• Proficiency in Python, SQL, and Azure cloud services.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow) is a plus.
• Strong understanding of DevSecOps principles and tools.
• Excellent communication and collaboration skills.

Desired Skills:

• Experience supporting DoD or military training programs.
• Familiarity with MDO concepts and CTC operations.
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Experience with data visualization tools (Power BI, Tableau).

Equal Opportunity Statement:
Seneca Holdings provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Notwithstanding the foregoing, the Company does give hiring preference to Seneca or Native individuals. Veterans with expertise in these areas are highly encouraged to apply.