Data Scientist

Overview

SOSi is seeking a 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.

Minimum Requirements

• Top Secret clearance with SCI Eligibility.
• Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field.
• 1-3 years of experience as a Data Scientist
• 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 methodolgies.
• Understanding of software design and system integration.

Preferrred Qualifications

• Experience with petabyte scale data sets
• Experience with multi-INT analytics

Work Environment

• Office setting with a combination of desk work and meetings.
• Occasional remote work or telecommuting opportunities.
• Potential travel for conferences, training, or meetings with stakeholders.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.