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

J&T Business Consulting; Laurel (MD); In loco; USD 206.000 - 248.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health Insurance

Life Insurance

PTO

401(k)

Tuition Reimbursement

Descrizione del lavoro

J&T Business Consulting in Laurel, MD seeks a Data Science Engineer (TS/SCI with Full Scope Polygraph) to develop compliance analytics and ML-enabled data pipelines.

You'll design automated tools, prototype ML models, and integrate with enterprise platforms, using Python/Java/Scala in Linux. Collaboration via Jira, Confluence, GitLab, and Bitbucket is expected.

Competenze

• Advanced development experience in Python, Java, and Scala on Linux.
• Hands-on with Scikit-learn, ML models, feature engineering, and SQL/JSON.
• Experience with distributed processing and data pipelines.

Mansioni

• Design, prototype, and maintain compliance automation tools and analytics.
• Implement and validate ML algorithms in an R&D environment.
• Perform Exploratory Data Analysis and feature engineering on complex datasets.
• Build and monitor ML models, data flows, and telemetry.
• Integrate MapReduce workflows with backend pipelines.
• Develop full-stack analytics software using Python, Java, Scala, Lucene, JEXL, SQL, JSON on Linux.
• Collaborate using Jira, Confluence, Git/GitLab, and Bitbucket, with thorough docs and reviews.

Conoscenze

Python

Java

Scala

Jupyter

Machine Learning

Formazione

Bachelor’s degree in Computer Science or related field

18 years of software engineering experience without a degree

Strumenti

Lucene

JEXL

SQL

JSON

MapReduce

Apache Spark

AWS

Git

GitLab

Jira

Confluence

IntelliJ

Eclipse

Descrizione del lavoro

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

Laurel, United States | Posted on 11/05/2026

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.