Data Scientist
At a glance
Mid-level Data Science role at SOSi. Huntsville · full-time · no salary stated · we estimate $115,300–$175,500 across the United States.
SOSi has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and launch data science solutions in Python or a comparable programming language
- Use Linux to develop data-processing workflows and put models into use
- Work with data engineers to improve how data is collected, checked and accessed
- Adjust priorities and solutions to project needs, then document the work and its results
- Write code that is clear, testable and maintainable across Python and other languages
What you bring
- An active Top Secret clearance with eligibility for SCI access
- A degree in computer science, statistics, mathematics, physics or another quantitative field
- One to three years working as a data scientist, with Python or similar programming experience
- Hands-on familiarity with SQL and NoSQL databases, plus both Linux and Windows
- Knowledge of CI/CD, Agile approaches, software design and system integration
Who this fits
This mid-level role suits someone who has developed AI/ML models and wants to work with large-scale data and end users. The position is onsite in Huntsville, Alabama, with occasional remote work possible. Some travel for conferences, training or stakeholder meetings may be needed.
From the employer
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.
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.
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