Maintain and enhance critical web servers, tackle complex technical challenges, and contribute to ongoing development initiatives while ensuring the smooth operation of existing systems.
Requirements
- 12 years in software development with a B.S. degree, or 14-16 years of experience without a degree.
- 6-12 years of data science and/or software engineering experience (Python, Scripting, Virtualization, storage and compute platforms, etc.).
- Active TS/SCI with Polygraph.
- At least 2 years of recent experience developing in Python.
- Proficiency in Git for version control and collaboration.
- Utilize project tracking tools like Jira.
- Document architecture in Confluence.
Responsibilities
- Write efficient software to manipulate data for machine learning and analysis.
- Automate processing for recurring tasks to improve efficiency.
- Create and maintain containers and virtualization environments for prototype development and testing.
- Improve and troubleshoot the engineering design of our analytics pipeline, including predictive analytics, feature engineering, and data cleaning.
- Design and implement software solutions to address existing engineering challenges.
- Develop machine learning models through all phases—from design and training to evaluation, validation, and implementation.
- Use your interpersonal skills to translate complex technical work into tangible results for our customer.
Other
- Minimum Clearance Required to Start: TS/SCI with Polygraph
- Employee Type: Regular
- Percentage of Travel Required: None
- Type of Travel: None
- Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams.
