Junior Level Data Scientist

Torch Technologies is hiring a Junior Level Data Scientist to support USSPACECOM. The role develops data products and analytical solutions by integrating and analyzing data, building pipelines and decision-support tools, and communicating findings to mission stakeholders.

Responsibilities

• 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

Skills

• 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
• 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

Benefits

• 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
• Holidays

Company Overview