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Platform Data Scientist

Job in Washington, District of Columbia, 20022, USA
Listing for: RedBeard Solutions
Full Time position
Listed on 2026-08-06
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 150875 - 204125 USD Yearly USD 150875.00 204125.00 YEAR
Job Description & How to Apply Below

Job Title:
Platform Data Scientist

Location: Boston, Chicago, Denver, New Jersey, New York City, Silicon Valley, Washington DC

Experience: 3+ years of experience as a Data Scientist;
Previous enterprise platform experience preferred

Salary: $ (+ 15k Annual Performance Bonus)

Clearance: Secret, TS Strongly Preferred

About the Opportunity

Building a next-generation AI platform supporting mission-critical government and defense initiatives. This is an opportunity to join a highly technical team working on advanced AI capabilities that leverage Generative AI, large language models, and knowledge graphs to solve complex real-world problems.

If you're passionate about building production-grade AI solutions and enjoy working at the intersection of data science, software engineering, and emerging AI technologies, we'd love to speak with you.

What You'll Be Doing
  • Develop and deploy AI and machine learning solutions that transform large volumes of structured and unstructured data into actionable insights.
  • Design, build, and optimize production-ready NLP and Generative AI pipelines using modern LLM technologies.
  • Work with multimodal language models to support intelligent search, knowledge discovery, content generation, and automation.
  • Build predictive models, recommendation engines, classification models, and semantic retrieval solutions.
  • Create and maintain knowledge graphs and ontologies that improve how enterprise data is connected and consumed.
  • Partner closely with software engineers, product teams, and domain experts to move AI solutions from experimentation into production.
  • Continuously evaluate, fine-tune, and improve model performance while maintaining high standards for quality and scalability.
What We re Looking For
  • U.S. Citizenship is required.
  • Active Secret Security Clearance (Top Secret preferred).
  • 3+ years of professional experience as a Data Scientist.
  • Prior experience building enterprise AI or data platforms is highly desirable.
  • Strong understanding of NLP, Transformers, LLMs, and Generative AI.
  • Hands-on experience working with OpenAI GPT models and multimodal LLMs.
  • Experience building end-to-end machine learning pipelines using Python.
  • Knowledge of knowledge graphs, ontologies, semantic modeling, or graph-based data solutions.
  • Experience using Git and modern software development practices.
  • Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Preferred Background
  • Experience supporting Defense or Public Sector programs.
  • Experience working with data across classified environments.
  • Comfortable collaborating within cross-functional engineering and product teams.
  • A systems thinker who enjoys solving complex technical challenges and building scalable AI solutions from concept through production.
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