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 Junior Level Data Scientist to join a team supporting USSPACECOM through data collection, interpretation, analysis, and development of analytical products. This position supports USSPACECOM. As a Junior Level Data Scientist, your duties will include the following, but are not limited to: Partner with mission stakeholders, customers, and senior leaders to identify high‑value decisions, operational questions, and analytical requirements. Translate evolving or incomplete customer needs into clear technical requirements, data‑product designs, and prioritized development work. Design and develop data products that integrate, transform, analyze, and present data for operational and decision‑support use cases. Model mission‑relevant entities, relationships, processes, and business rules using various ontology approaches. Develop and maintain data pipelines, transformations, and data‑quality checks within Foundry and Databricks (War Data Platform). Apply relational database concepts (data modeling, joins, keys, normalization, query optimization) to organize and relate disparate data sources. Develop analytical methods, metrics, statistical models, and decision‑support tools. Use SQL, Python, PySpark, and TypeScript for data analysis, transformation, automation, and model development. Build analytical products, dashboards, operational applications, or workflows that enable customers to explore data and act on insights. Communicate analytical methods, assumptions, findings, limitations, and recommendations to technical and non‑technical audiences. Validate data products with end users and refine based on feedback and mission priorities. Document data sources, transformation logic, ontology design, analytical assumptions, and user workflows. Coordinate with data owners, platform teams, SMEs, and developers to resolve data‑access, data‑quality, and integration issues. Required Qualifications U.S. Citizenship Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, Information Systems, or related field 2+ years of related experience. Secret level DOW clearance with ability to obtain and maintain a TS/SCI Demonstrated experience developing data products or analytical solutions (pipelines, transformations, analytical datasets, dashboards) Strong understanding of relational database concepts (tables, relationships, keys, joins, schemas, normalization) Proficiency in SQL for querying, transforming, and analyzing data Proficiency in Python for data analysis, transformation, automation, or statistical modeling Experience integrating and preparing data from multiple structured and semi‑structured sources Ability to assess data quality, reconcile inconsistent data, identify analytical limitations, and communicate risks Ability to translate customer objectives and operational questions into technical requirements, data models, analytical approaches, and usable products Experience briefing analytical results and recommendations to senior leaders and non‑technical stakeholders Strong written and verbal communication skills Ability to work independently while collaborating effectively with mission partners and multidisciplinary teams Preferred Qualifications TS/SCI level DOW clearance Experience designing or extending ontologies in Palantir Foundry Experience developing Foundry applications, dashboards, workflows, or analytical tools Experience with statistical analysis, forecasting, optimization, machine learning, or other quantitative methods Experience supporting data‑driven decision‑making in a Combatant Command, Joint, Department of Defense, intelligence community, or similar environment Familiarity with operational planning, readiness, logistics, force management, space operations, intelligence support, or other USSPACECOM‑relevant domains Experience with data governance, data stewardship, metadata, and data‑quality processes Experience in cloud technology and cloud employment Experience with CI/CD Machine learning or artificial intelligence experience Experience implementing DevSecOps controls (DoD CIO & AF CSO) Proficiency in data security management Experience with open platforms (Kubernetes/Istio), microservice/service‑mesh architectures, and event‑driven behavior Schedule: M–F; 8–5 Work Location: Onsite, Colorado Springs Travel: Yes, 10–20% Relocation Assistance Available: No Position Contingent Upon Award of Contract: No Salary range:  $90,000-$115,000 The salary range information is general guidelines only.  Several factors can influence the salary for a position including but not limited to, Federal Government contract labor categories and contract wage rates, geographic location, business considerations, scope, and responsibilities of the position, local or other applicable market conditions, and internal equity. Other factors include the candidate’s qualifications such as relevant prior work experience, specific skills and competencies, education/training, and certifications. #LI-DK1 Benefits: Torch Technologies is proud to offer a stable and professional work environment, a competitive salary, and an excellent, comprehensive benefit package including: ESOP participation, 401(k) match, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, Health Saving Accounts and Health Reimbursement Accounts, EAP, education assistance, paid time off, and holidays.  Applying to Torch Technologies: Only those candidates invited for an interview will be contacted. Employment at Torch Technologies is contingent upon the successful completion of a comprehensive background check. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law. Torch Technologies, Inc. participates in E-Verify. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Careers Link as a result of your disability. You can request reasonable accommodations by sending an email to [email protected]. Thank you for your interest in Torch Technologies. Torch Technologies is dedicated to providing superior research, development, and engineering services to the Department of Defense. As defense contractors, the services we provide directly support the men and women who serve our country. From the CEO's desk... When Bill Roark and Don Holder founded Torch in 2002, they knew that employees were the company's greatest asset. They believed that offering employees a stake in the outcome, by making them all owners, was critical to building a successful organization. I share that feeling. Bill and Don's original intent was fully achieved in 2011 when Torch converted to a 100 percent S-Corp ESOP. Since that time, the company has grown over ten-fold and gained national recognition for the success we have demonstrated as an employee-owned company. Today, Torch continues to respect the individual contributions of our employee-owners and to share the rewards of our success. In addition, we continue to foster an environment of employee recognition, respect, development, and comradery while striving to achieve a healthy work-life balance. We recognize that core to our company is a culture of trust with our employees, customers, business partners, and community. Our management team is committed to continue to earn that trust. This past year, Torch proudly announced that we were Certified Evergreen™. A timely achievement for Torch employee-owners as they will celebrate Torch’s 20th anniversary this October, becoming Certified Evergreen™ signifies that while Torch employee-owners can look back on Torch’s past with pride, Torch is also looking forward. Becoming Certified Evergreen™ means that Torch has committed to finding ways to make 100 percent employee ownership sustainable so that Torch will remain a private company forever. Going forward, Torch will continue to evolve to address market and technology changes in order to become a major provider of cost-effective technical services and solutions to the Warfighter. We are making significant investments into facilities, equipment, business systems, and research to enable us to provide innovations and timely business services to our clients. We feel that always looking to improve our service is key to sustaining customer trust in the future. Likewise, we believe that continuing to share ownership is one of the ways we maintain employee trust and an unparalleled commitment to succeed. Combined, these timeless principles form the basis of the Torch culture. A culture that we are committed to continue and strive to pass on to the next generation of employee-owners as an Evergreen Company.

Junior Level Data Scientist.

more at Starfish.

Software Developer

Model Based System Engineer

Electrical Hardware Design Engineer

similar roles.

Diagnostic Imaging Supervisor

Administrative Assistant

Staff Firmware/Software Engineer - Embedded SoC/Microcontroller/DSP/SERDES/AEC/MicroLED/ODSP/PHY/AI Connectivity

OSAT Procurement Intern - Bachelor's Degree

Manager, Engineering, Dev AI

Senior Data Engineer