Data Scientist- Mid Level
Mid-level data scientist working on-site at Scott AFB, IL (Secret clearance with TS/SCI eligibility required) supporting USTRANSCOM's global bulk fuel management mission. Day to day: analyzing Joint Petroleum Enterprise data, building/deploying ML models, and creating dashboards using SQL, Python, Spark, Databricks, and Palantir Ontology.
- Compensation
- Not disclosed
- Location
- St. Louis, MO
- Work setup
- Not specified
- Seniority
- Middle
- Employment
- Full time
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Data Engineering, or a related field
- 5+ years of experience in data engineering or a related role
- Strong proficiency in SQL and Python
- Experience with data pipeline development using Apache Spark, Kafka, or similar
- Experience with cloud platforms (AWS, Azure, or GCP)
- Active DoD Secret clearance with eligibility for TS/SCI
- U.S. person status (citizens, permanent residents, or protected individuals under 8 U.S.C. 1324b(a)(3))
- On-site at Scott Air Force Base, Illinois, with ~10% CONUS travel
Nice to have
- Experience with Databricks (highly desired)
- Experience with Palantir Ontology
- Experience with data warehousing, ETL processes, and data modeling techniques
- Proficiency with machine learning frameworks
- Experience with API development and RESTful web services
- Experience with Maven Smart Systems or similar platforms
- Excellent communication and collaboration skills
- Ability to work in a fast-paced, agile environment and quickly learn new technologies
- Experience working with DoD, DLA, or USTRANSCOM
Full description
Data Scientist (Mid-level)
On-site | Scott AFB, Illinois | Secret Clearance Required (TS/SCI Eligible)
If you want to work on real operational problems, see your work contribute to mission success, and be part of a team that values respect and collaboration, we would love to talk.Why This Role Exists
The work we do has real impact, and the people behind it matter just as much.
D&G is seeking a Data Scientist to support the United States Transportation Command's (USTRANSCOM) mission as the Single Manager for Global Bulk Fuel Management and Delivery (GBFMD). The Data Scientist will analyze and interpret complex data from the Joint Petroleum Enterprise (JPE) to uncover actionable insights, build predictive models, and create data visualizations. This role is crucial for enhancing the Global Common Operating Picture and other critical bulk fuel IT tools, directly contributing to the effectiveness of DoD missions worldwide.
What You Will Do
- Data Analysis & Modeling: Perform exploratory data analysis, build, and deploy machine learning models to identify trends, forecast demand, and optimize logistics within the JPE.
- Insight Generation: Translate complex findings into clear, actionable recommendations for stakeholders through reports, dashboards, and presentations.
- Common Operating Picture Support: Collaborate with data engineers to access and prepare data from Databricks and Palantir's Ontology for analysis and visualization.
- JPE Data Set Support: Analyze JPE data sources to identify opportunities for deeper analysis and insight. Assist in defining data requirements for ingestion and API development to ensure data is fit for analytical purposes.
- Stakeholder Collaboration: Actively participate in working groups and meetings to contribute to data-driven strategies, tool selection, and discussions on analytical requirements.
- Project Support: Contribute to GBFMD equities presentations for USTRANSCOM, Joint Staff (JS), and Office of the Secretary of Defense (OSD) governance boards as needed. Complete ad hoc analytical projects as assigned by leadership.
What We Are Looking For
Required
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- 5+ years of experience in data engineering or a related role.
- Strong proficiency in SQL and Python.
- Experience with data pipeline development using tools like Apache Spark, Kafka, or similar.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Experience with Databricks is highly desired.