SOSi

Defense, intelligence, and logistics solutions provider

Senior Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeHuntsville, AL, USA$83.2k - $172.7k /yrIn-person

About the Job

Requirements

A degree in Computer Science, Statistics, Mathematics, Physics, or another quantitative field is required.
A minimum of four years of experience as a Data Scientist, Data Engineer, or in an advanced analytical role is required.
Programming knowledge in Python or a similar language is required.
Experience working with SQL and NoSQL databases is required.
Experience with both Linux and Windows operating systems is required.
Knowledge of continuous integration and continuous delivery and Agile methodologies is required.
Understanding of software design and system integration is required.
An active Top Secret/Sensitive Compartmented Information clearance is required.

Responsibilities

Develop and deploy data science solutions using Python or similar languages.
Use Linux for development of data processing and model deployment.
Collaborate with data engineers to improve data collection, 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.
Transform petabyte-scale data into data products using scientific techniques to enable data-driven decisions.
Work with end users as an embedded team member and apply Scrumban techniques.

Job Description

SOSi 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 data-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.

Qualifications

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 Scientist/Engineer 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.

Additional Information

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.

Compensation: 83164 to 172725 (USD) (YEARLY)

About the Company

SOSi

Defense, intelligence, and logistics solutions provider

SOSi provides defense and government solutions, delivering data science, software, network engineering, ISR, language services, and logistics to government customers across 16+ countries. Its offerings include data-centric, zero-trust networks, AI-powered intelligence platforms, and cloud-native solutions that help U.S. and allied forces operate and decide. The company differentiates itself through founder-led leadership, a large veteran workforce, and a technology-first approach that combines engineering with mission delivery in national security contexts. Its goal is to provide trusted, mission-ready technology and support that strengthen the capabilities of U.S. and allied forces wherever they operate.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: New York City, New York
Founded: 1989

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