Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job DescriptionSOSi is seeking a highly skilled Data Scientist to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources.
The ideal candidate will have a background in AI/ML model development and have experience in Python programming, handling SQL databases, and working in command line interfaces. You will leverage scientific techniques to transform petabyte-scale data into insightful data products to enable dta-driven decisions. You will perform using Scrumban techniques and be embedded with end users.
The team will work with technologies including:
- Open source, commercial, and government software packages such as Docker, Python, Jupyter Notebooks, PostgreSQL, and other tools.
- Leverage GitOps patterns and CI/CD with tools like GitLab and GitHub.
Essential Job Duties
- Develop and deploy data science solutions leveraging Python or similar languages.
- Utilize Linux for development of data processing and model deployment.
- Collaborate with data engineers to improve data colleciton, quality, and access.
- Prioritize tasks efficiently and adapt solutions to meet project requirements.
- Document processes and outcomes for transparency and future reference.
- Write clean, testable, maintainable code in Python and other languages.
- Active TS/SCI.
- Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field.
- A minimum of four (4) years of experience as a Data Engineer/Scientist or advanced analytical role
- Programming knowledge in Python or similar language.
- Experience working with SQL and NoSQL databases.
- Experience with both Linux and Windows operating systems.
- Knowledge of CI/CD and Agile methodologies.
- Understanding of software design and system integration.
Work Environment
- Office setting with a combination of desk work and meetings.
Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.
Skills Required
- Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field
- Minimum of four years of experience as a Data Engineer/Scientist or advanced analytical role
- Active TS/SCI
- Programming knowledge in Python or similar language
- Experience working with SQL and NoSQL databases
- Experience with both Linux and Windows operating systems
- Knowledge of CI/CD and Agile methodologies
- Understanding of software design and system integration
SOSi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SOSi and has not been reviewed or approved by SOSi.
-
Healthcare Strength — Health coverage is considered a relative strength, with international plan options and substantial employer contribution that support OCONUS and travel-heavy work. Company materials also highlight a comprehensive medical offering alongside wellness support.
-
Retirement Support — A 401(k) program is available, with indications of employer matching though specifics are not publicly detailed. This suggests foundational retirement support for eligible employees.
-
Career-Linked Recognition & Rewards — Compensation is often characterized as competitive for cleared, hard‑to‑hire, and certain overseas or mission‑critical roles. Pay levels appear closely tied to contract demands, clearance, and location.
SOSi Insights
What We Do
SOSi is a technology and services integrator focused on the aerospace, defense, and government services industry, described as one of the largest private, founder-owned companies in its sector.
