About this opportunity
DataJobs lists this Data Scientist- Mid Level opportunity in st. louis, Missouri. Review the employer’s description below for duties, qualifications and application requirements.
Job description
This mid-level Data Scientist role supports USTRANSCOM’s mission for Global Bulk Fuel Management and Delivery by working with JPE data, building predictive machine learning models, and delivering data visualizations that strengthen the Global Common Operating Picture.
Role Overview
As a Data Scientist, you will provide common operating picture support and JPE dataset support through exploratory analysis, model development, and stakeholder-ready reporting. The position also includes collaboration with data engineering teams to access and prepare data from Databricks and Palantir’s Ontology, along with participation in working groups and ad hoc analytics assigned by leadership.
Key Responsibilities
Conduct exploratory data analysis, develop and deploy machine learning models to identify trends, forecast demand, and optimize logistics within the JPE.
Convert complex results into actionable guidance for stakeholders using reports, dashboards, and presentations.
Partner with data engineers to obtain and prepare data from Databricks and Palantir’s Ontology for analysis and visualization.
Analyze JPE data sources to surface opportunities for deeper analysis and additional insight.
Help define data requirements for ingestion and API development to ensure data is suitable for analytical use.
Participate in working groups and meetings to contribute to data-driven strategies, tool selection, and analytical requirements.
Support 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 assigned by leadership.
Required Qualifications
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 developing data pipelines using tools such as Apache Spark , Kafka , or similar technologies.
Experience with cloud platforms: AWS , Azure , or GCP .
Experience with Databricks is highly desired.
Experience with Palantir Ontology is a plus.
Technologies
SQL, Python, Apache Spark, Kafka
AWS, Azure, GCP
Databricks, Palantir Ontology
RESTful web services, API development
Preferred Qualifications
Experience with data warehousing and ETL processes, plus 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.
Compensation and Benefits
Salary: USD 120,000 - 125,000 per year.
Competitive salary
Comprehensive benefits
401(k)
Bonus and profit sharing
Flexible hours
Education reimbursement
Generous paid time off
Clearance and Eligibility
Active DoD Secret clearance with eligibility for TS/SCI .
Restricted to U.S. persons (U.S. citizens, permanent residents, and other protected individuals under 8 U.S.C. 1324b(a)(3)).
Work Location and Travel
Location: On-site at Scott Air Force Base , Illinois. (Role listed as St. Louis, MO onsite.)
Ability to travel within CONUS , approximately 10% of the time.
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Worksite address
st. louis, MO, 63146, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.