Junior Level Data Scientist

Torch Technologies, Inc.•Colorado Springs, CO

5d•$90,000 - $115,000•Onsite

About The Position

Torch Technologies is seeking a Junior Level Data Scientist to support USSPACECOM through data collection, interpretation, analysis, and development of analytical products. The role partners with mission stakeholders, customers, and senior leaders to identify important decisions, operational questions, and analytical requirements, then translates customer needs into technical requirements and usable data products. The Data Scientist designs and develops products that integrate, transform, analyze, and present data for operational and decision-support use. Work includes modeling mission-relevant entities and processes using ontology approaches; developing and maintaining data pipelines, transformations, and quality checks in Foundry and Databricks (War Data Platform); applying relational database concepts; and developing analytical methods, metrics, statistical models, and decision-support tools. The role uses SQL, Python, PySpark, and TypeScript to analyze and transform data, automate tasks, and develop models. Products may include dashboards, operational applications, and workflows. The position also involves communicating methods, assumptions, findings, limitations, and recommendations to technical and non-technical audiences; validating products with end users and refining them based on feedback and mission priorities; documenting data sources, logic, ontology design, assumptions, and workflows; and coordinating with data owners, platform teams, subject matter experts, and developers to resolve data access, quality, and integration issues. The position is onsite in Colorado Springs, follows a Monday–Friday, 8 a.m.–5 p.m. schedule, and requires 10–20% travel.

Requirements

U.S. citizenship.
Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, Information Systems, or a related field.
At least 2 years of related experience.
Secret-level Department of War clearance and ability to obtain and maintain TS/SCI clearance.
Demonstrated experience developing data products or analytical solutions, such as pipelines, transformations, analytical datasets, or dashboards.
Strong understanding of relational database concepts, including tables, relationships, keys, joins, schemas, and 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.

Nice To Haves

TS/SCI-level Department of War 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 such as Kubernetes/Istio, microservice/service-mesh architectures, and event-driven behavior.

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 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 ontology approaches.
Develop and maintain data pipelines, transformations, and data-quality checks within Foundry and Databricks (War Data Platform).
Apply relational database concepts 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 them based on feedback and mission priorities.
Document data sources, transformation logic, ontology design, analytical assumptions, and user workflows.
Coordinate with data owners, platform teams, subject matter experts, and developers to resolve data-access, data-quality, and integration issues.