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

J&T Business Consulting; Kentucky; On-site; USD 206,000 - 248,000; Full time

Benefits offered by this job

Health insurance

401(k) Retirement Plan

Tuition Reimbursement

Paid Time Off

Job summary

J&T Business Consulting in Laurel, MD, is hiring a Data Science Engineer (TS/SCI with polygraph) to design and implement analytics, ML models, and data pipelines in an R&D environment.

You will develop automated compliance tools using Python, Java/Scala, and Lucene/JEXL, perform exploratory data analysis, and monitor production data flows, collaborating with Jira, Confluence, Git systems.

Qualifications

• Bachelor’s degree in Computer Science or related discipline plus 14+ years of software experience, or 18 years without a degree.
• Proficiency with Python, Java, and Scala on Linux.
• Hands-on ML/DS with Scikit-learn, ML model deployment, and data processing.

Responsibilities

• Design, prototype, and maintain compliance analytics and data pipelines.
• Build and validate ML/AI algorithms in an R&D environment.
• Develop full-stack and analytical software with Python/Java/Scala.
• Monitor data flows and performance telemetry across systems.

Skills

Python

Java

Scala

Scikit-learn

Random Forest

Jupyter Notebooks

feature engineering

Lucene

JEXL

SQL

JSON

Education

Bachelor’s degree in Computer Science or related discipline

Tools

Jira

Confluence

Git

GitLab

Bitbucket

IntelliJ

Eclipse

Job description

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

Laurel, United States | Posted on 10/16/2026

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

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

This position offers a comprehensive benefits package designed to support employees both personally and professionally:

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.