Data Science Engineer (TS/SCI Clearance With Full Scope Polygraph Required)

J&T; Laurel (MD); On-site; USD 206,000 - 248,000; Full time

Benefits offered by this job

Comprehensive Health Insurance

401(k) Retirement Plan with Company ES

Tuition Reimbursement

Paid Time Off

Professional development

Job summary

J T is seeking an experienced Software Engineer (Level 2/3) in Laurel, MD, to develop compliance analytics and data processing tools. You will build ML models, automate pipelines, and integrate with enterprise platforms in an R&D setting.

You will work with Python, Java, and Scala on Linux, performing feature engineering and validating ML methods, with collaboration via Jira, Confluence, and Git tools.

Qualifications

• Experience in Python/Java/Scala in Linux environments.
• Hands-on ML, data processing, feature engineering and ML model deployment.
• Familiar with Jira, Confluence, Git/GitLab/Bitbucket for collaboration.
• Exposure to Scikit‑learn, MapReduce, and distributed data processing.
• Strong documentation and peer review habits are expected.

Responsibilities

• Design, prototype, and maintain compliance automation tools and analytics.
• Implement, test, and validate ML/AI algorithms within an R&D environment.
• Conduct Exploratory Data Analysis and feature engineering on complex data.
• Build, deploy, and monitor ML models, data flows, and telemetry.
• Integrate MapReduce workflows with backend data pipelines.
• Develop full-stack and analytical software using Python, Java, Scala, SQL, JSON in Linux.
• Collaborate using Jira, Confluence, Git/GitLab/Bitbucket and document work.

Skills

Python

Java

Scala

Linux

Machine Learning

Data Processing

Jupyter Notebooks

Education

Bachelor’s degree in Computer Science

18 years of software engineering experience without a degree

Tools

Lucene

JEXL

SQL

JSON

Git

GitLab

Jira

Confluence

Bitbucket

IntelliJ

Eclipse

Job description

Position: Software Engineer – Level 2 / Level 3

Location: Laurel, MD

Employment Type: Full-Time

Clearance Requirement: Active TS/SCI with Polygraph

Salary Range: $206,000 – $248,000 / year (dependent on experience, education, and skill set)

About the Role

Seeking an experienced Software Engineer (Level 2/3) to develop, prototype, and enhance compliance modernization analytics and business processing systems in Laurel, MD.

In this role, you will design and implement automated compliance tools, integrate machine learning algorithms, and conduct proof‑of‑concept research within an R&D environment. You will engineer predictive models, develop features, establish operational monitoring for deployed pipelines, and build data‑driven tools that integrate with enterprise corporate platforms.

Key Responsibilities

• Design, prototype, and maintain compliance automation tools and business processing analytics.
• Implement, test, and validate machine learning and AI algorithms (e.g., Random Forest, GMLearn) within an R&D test environment.
• Conduct Exploratory Data Analysis (EDA) and execute advanced feature engineering on complex datasets.
• Build, deploy, and monitor machine learning models, data flows, and performance telemetry.
• Integrate distributed MapReduce processing workflows (Ghostmachine) with backend data pipelines.
• Develop full‑stack and analytical software using Python, Java, Scala, Lucene, JEXL, SQL, and JSON within a Linux environment.
• Collaborate using Jira, Confluence, Git/GitLab, and Bitbucket, maintaining comprehensive technical documentation and participating in peer reviews.

Required Qualifications & Experience

• Security Clearance: Active TS/SCI with a current Polygraph.
• Experience & Education: Bachelor’s degree in Computer Science or a related discipline from an accredited institution plus at least 14 years of software engineering experience on programs of similar scope and complexity, OR
• Experience & Education: 18 years of relevant software engineering experience without a degree (4 additional years substituting for the degree).
• Programming & Environment: Advanced development experience using Python, Java, and/or Scala in Linux operating environments.
• Machine Learning & Data Processing: Hands‑on experience with Scikit‑learn, Random Forest modeling, feature engineering, Jupyter Notebooks, Lucene, JEXL, SQL, JSON, and MapReduce distributed frameworks.
• Development Tooling: Proficiency with IDEs (IntelliJ, Eclipse), version control (Git, GitLab, Bitbucket), and collaboration tools (Jira, Confluence).
• Domain Knowledge: Familiarity with customer compliance authorities, enterprise corporate systems, and governance standards.

Desired Qualifications

• Strong foundational background in Data Science and applied statistical analysis.
• Experience deploying ML systems and pipelines to Amazon Web Services (AWS).
• Hands‑on experience with Apache Spark for distributed data processing.
• Exposure to Large Language Models (LLMs), prompt engineering, and Agentic AI architectures.

Benefits & Compensation

• Comprehensive Health, Dental, and Vision Insurance
• Basic Life and Disability Insurance
• Paid Time Off (PTO) and Paid Holidays
• 401(k) Retirement Plan with Company Match
• Tuition Reimbursement for ongoing education and professional development

An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected under federal, state, or local law.