Sr. Data Science Software Engineer

Staffed4U•Laurel, MD

6d•Onsite

About The Position

Join an employee-focused government contractor that believes investing in its people is just as important as delivering exceptional mission results. The company offers an outstanding benefits package, values work-life balance, and provides opportunities to work on cutting-edge technologies supporting critical national security missions. You'll be part of a collaborative team where your contributions are recognized and your professional growth is encouraged. The Software Engineer will develop, enhance, and prototype compliance and business processing analytics and tools. Responsibilities include developing new methods for automating compliance functions, improving existing processes, and investigating, integrating, and testing compliance modernization Machine Learning/AI algorithms and proof-of-concepts in a research and development environment. The engineer will also develop models and implement appropriate metrics and monitoring for developed tools, functions, and data flows.

Requirements

Experience with Java, Scala, and Python
Experience with Lucene, JEXL, SQL, and JSON
Random Forest experience, including feature development
Experience building and monitoring Machine Learning models
Experience developing in a Linux operating environment
Experience with Ghostmachine (Map/Reduce)
Experience with GM Learn
Experience with Jupyter Notebooks
Experience with IntelliJ and/or Eclipse
Experience with Git/GitLab and/or Stash/Bitbucket
Experience with Jira
Experience with Confluence
Experience with Scikit-learn
Knowledge of Agency compliance standards, policies, and authorities
Experience with Agency corporate systems
Twenty (20) years of experience as a Software Engineer on programs and contracts of similar scope, type, and complexity.
Bachelor's degree in Computer Science or a related discipline from an accredited college or university.
Four (4) additional years of Software Engineering experience on projects with similar software processes may be substituted for the bachelor's degree.

Nice To Haves

Data Science background
AWS experience
Experience implementing Machine Learning systems
Apache Spark
Exploratory Data Analysis (EDA)
Agentic AI
Large Language Models (LLMs)
Machine Learning feature development
Experience with additional Machine Learning models and techniques

Responsibilities

Develop, enhance, and prototype compliance and business processing analytics and tools.
Develop new methods for automating compliance functions.
Improve existing processes.
Investigate, integrate, and test compliance modernization Machine Learning/AI algorithms and proof-of-concepts in a research and development environment.
Develop models and implement appropriate metrics and monitoring for developed tools, functions, and data flows.
Create and review technical documentation.

Benefits

100% employer-paid medical, dental, and vision insurance through CareFirst for employees and their families
No payroll deductions or deductibles for health insurance
Short-term and long-term disability insurance
Life insurance equal to 150% of salary (up to $200,000)
Four (4) weeks of Paid Time Off (PTO)
Eleven (11) paid holidays
Flexible floating holidays
401(k) with a 6% employer match, fully vested immediately
Annual 4% anniversary bonus
Holiday bonuses
Birthday bonuses
Up to $5,000 annually for continuing education and professional development
$100 monthly cell phone/internet stipend
Company-paid Amazon Prime membership