Data Scientist/Analytics Engineer

Requirements

• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Analytics, or a related discipline.
• Experience supporting Department of Defense (DoD), Missile Defense Agency (MDA), or other government engineering and test programs.
• Experience implementing artificial intelligence, machine learning, or generative AI solutions within operational environments.
• Experience with containerization and deployment technologies such as Docker and Kubernetes.
• Knowledge of cloud-based data and analytics architectures.
• Experience working within Agile software development environments.
• Exceptional written and verbal communication skills.
• Demonstrated ability to engage effectively with technical and executive stakeholders.
• Schedule: M-F; 8:00 AM - 5:00 PM
• Work Location: Onsite, Huntsville, Alabama
• Travel: Yes, 0-10%
• Relocation Assistance Available: No
• Position Contingent Upon Award of Contract: No
• #LI-DK1

Benefits

Additional Information

Torch Technologies Thank you for your interest in employment with Torch Technologies. We are a 100% employee-owned, Certified Great Place To Work and named Best Places to Work in Huntsville/Madison County, headquartered in Huntsville, AL. Our team provides superior research, development, and engineering services to the Federal Government and Department of War. As one of the nation's top 100 defense companies, the services we provide directly support the men and women who serve our country. Our corporate mission sums up the pride our employee-owners take in the work we do: "Lighting the Pathway of Freedom". And, as a Certified Evergreen ESOP, we have made the commitment to grow and sustain our company for the next 100 years! Come grow with us! Torch Technologies is seeking a Data Scientist / Analytics Engineer to join a team developing advanced data processing, workflow automation, visualization, and analytics capabilities supporting the Missile Defense Agency (MDA) Ground Test Program. This position supports MDA's Digital Engineering transformation efforts and Ground Test Program activities. As a Data Scientist/Analytics Engineer, your duties will include the following, but are not limited to: Design, develop, and maintain automated data ingestion, staging, transformation, and processing workflows supporting Missile Defense System test and performance analysis. Build and maintain scalable business intelligence solutions, dashboards, and visual analytics products using Tableau and similar visualization platforms. Integrate and process data from diverse sources, including relational databases, structured and semi-structured files, and emerging data repositories. Collaborate with analysts, engineers, and subject matter experts to develop analytical solutions that improve operational insight and decision-making. Develop and optimize ETL/ELT processes using Python, SQL, Alteryx, and related technologies. Support the integration of artificial intelligence and machine learning capabilities into analytics platforms and visualization environments. Apply software development best practices, including testing, documentation, configuration management, and code quality standards. Work within cross-functional engineering teams to deliver scalable, maintainable, and mission-focused data solutions. Support continuous improvement initiatives associated with Digital Engineering and data modernization efforts. Required Qualifications: U.S. Citizenship. Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical discipline. 5+ years of professional experience in data engineering, data analytics, business intelligence, or a related technical field. Ability to obtain and maintain a Secret DoD Security Clearance. Demonstrated experience developing automated data processing and workflow solutions. Strong proficiency with Tableau or comparable business intelligence and visualization platforms. Experience with relational databases and data storage technologies, including SQL Server, PostgreSQL, SQLite, and modern file-based formats such as Parquet. Proficiency with Python and common data science libraries and frameworks. Experience developing data pipelines, ETL processes, and automation solutions using Python, Alteryx, or similar tools. Strong analytical, problem-solving, organizational, and communication skills. Ability to work effectively in a collaborative team environment and communicate technical concepts to technical and non-technical stakeholders.

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