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Urgent! Data Scientist for Graph Platforms - FS Poly Job Opening In Columbia – Now Hiring stanleyreid

Data Scientist for Graph Platforms FS Poly



Job description

Who We Are

Stanley Reid is your one-stop shop for connecting with top contractors and exciting IC/DoD opportunities.

We're a team of experts who go beyond just finding jobs, providing personalized guidance to match your unique skills and goals to the perfect fit.

Our focus?

A stress-stress job search for you.

Let's chat and unlock your career potential!



About Our Client

Renowned for their deep technical expertise, our client brings together comprehensive capabilities across all aspects of CNO.

Founded and run by engineers, their team of CNO experts makes a direct impact on our nation's security every single day.

They offer an exceptional experience for cleared, tech-savvy professionals seeking impact and fulfillment and offer a robust, extensive contract portfolio across Maryland and Virginia, including their own PRIME contract.

They prioritize respect, open communication, and employee satisfaction with flexible work policies, fully-paid health benefits, generous PTO (5+ weeks & federal holidays), competitive compensation, unlimited training and tuition reimbursement, and a 10% 401k match.





The Role

As a Data Scientist specializing in Graph Analysis, you will be a key contributor to a collaborative team focused on developing a groundbreaking graph analysis platform.

Your primary responsibilities will involve enhancing graph data capabilities by designing, modeling, and optimizing complex graph structures, and crafting performant database queries.

You will also develop and maintain data parsers in Python to support ingestion pipelines, maintain comprehensive documentation of data models, and work directly with mission analysts and operators to translate their needs into novel data models and graphing solutions.

This role is 100% onsite in Columbia, MD.





What You'll Bring

- Technical degree + 8 years of experience (12 years of experience without a degree).

- Experience with or a strong interest in graph databases, such as Neo4j, and a willingness to learn specific query languages like Cypher.

- Strong Python programming skills, especially for writing and maintaining data parsing scripts.

- Proven ability to translate complex customer requirements into implementable data-driven solutions.

- Excellent communication and interpersonal skills for effective collaboration with diverse stakeholders.

- Strong analytical thinking and problem-solving abilities.



Nice to Haves:

- Previous experience with Neo4j or other graph databases, understanding of graph theory and algorithms, & familiarity with real-time data processing or streaming analytics.

- Knowledge of TCP/IP networking concepts and familiarity with SIGINT collection and analysis systems or similar mission environments.

- Experience with containerization technologies (Docker, Kubernetes) and an understanding of ETL processes for large, complex datasets.



Clearance Requirements

TS/SCI with FS Polygraph (no clearance upgrades or CCAs).

Please note, you MUST have the required clearance for consideration (uncleared or under-cleared applicants will not receive a response).



Location

Columbia, MD



Ready for next steps?

Apply online at https://careers.stanleyreid.com/, or contact our MD team for more info: mwhitford@stanleyreid.com, asmith@stanleyreid.com.



We look forward to exploring opportunities with you!



Please note: We are constantly expanding our network of opportunities and do our best to keep our openings current as they open and close.

We encourage you to apply and connect with us even if a directly matching role isn't currently listed (or available), as new opportunities arise frequently.

Due to the large volume of applications we receive daily, we are not able to individually follow-up to confirm receipt of submitted information or provide other status updates.

You will hear from us if there is a match! 🙂



Posted on 06/03/2025


Required Skill Profession

Mathematical Science Occupations



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