Senior Data Scientist

SOS International LLC; Huntsville (AL); Hybrid; USD 83,164 - 172,725; Full time

Job summary

SOS International is seeking a Data Scientist to join their analytics team in Huntsville, Alabama. This position focuses on delivering automation to key national security missions using petabyte-scale data on supercomputing resources.

The ideal candidate should have a background in AI/ML model development, experience in Python programming, and familiarity with SQL databases. Candidates will work efficiently in a collaborative setting using modern tools like Docker and Jupyter Notebooks.

Qualifications

• Active TS/SCI clearance is required.
• Minimum of four years of experience in Data Science or a similar analytical role.
• Proficiency in Python or a similar programming language.
• Experience working with SQL and NoSQL databases.
• Familiarity with both Linux and Windows operating systems.
• Understanding of software design and system integration concepts.

Responsibilities

• Deliver automation for national security missions using petabyte-scale data.
• Transform large datasets into actionable insights using scientific techniques.
• Collaborate with data engineers to enhance data quality and accessibility.
• Document processes and maintain clear and maintainable code in Python.

Skills

Python programming

SQL database handling

CI/CD methodologies

Docker

Linux OS

Agile methodologies

Education

Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field

Tools

Jupyter Notebooks

PostgreSQL

GitLab

GitHub

Job description

• Compensation: USD 83,164 - USD 172,725 - yearly

Company 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

SOSi is seeking a highly skilledData 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 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.
• 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/Engineeror 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

• Office setting with a combination of desk work and meetings.

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