Data Scientist

SOS International; Huntsville (AL); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Occasional remote work

Travel opportunities

Job summary

SOSi in Huntsville, Alabama, is seeking a Data Scientist to join our analytics team on an innovative MLOps workload supporting a government customer. You will transform petabyte-scale data into actionable insights using Python, SQL/NoSQL, and CI/CD patterns.

You will embed with end users, write clean, testable code, and collaborate with data engineers to improve data collection and processing on Linux environments.

Qualifications

• 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 methodologies.
• Understanding of software design and system integration.

Responsibilities

• Deliver automation for national security missions on petabyte-scale data.
• Work with petabyte-scale data on supercomputing resources.
• Write clean, testable Python code and other languages.
• Collaborate with data engineers to improve data collection and access.
• Document processes and outcomes for transparency and future reference.

Skills

Python programming

SQL

NoSQL

Linux

Windows

Agile methodologies

Software design

Education

Bachelor's degree in Computer Science

Statistics

Mathematics

Physics

Tools

Docker

Jupyter Notebooks

PostgreSQL

GitLab

GitHub

Python

Job description

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 Description

Overview

SOSi is seeking a Data Scientistto 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.
• 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

• 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

Additional Information

• 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.