Platform Data Scientist

RedBeard Solutions

  • Washington D.C., District of Columbia
  • 19 days ago
  • $175 Per Hour
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Skills

  • Aerospace and Defenseunmatched
  • Artificial Intelligence (AI)unmatched
  • Artificial Intelligence (AI) Programming Languagesunmatched
  • Automationunmatched
  • Communication Skillsunmatched
  • Cross-Functionalunmatched
  • Data Scienceunmatched
  • Emerging Technologyunmatched
  • Gitunmatched
  • Governmentunmatched
  • Machine Learningunmatched
  • Modeling Languagesunmatched
  • Natural Language Processing (NLP)unmatched
  • Ontologyunmatched
  • Performance Managementunmatched
  • Performance Modelingunmatched
  • Predictive Modelingunmatched
  • Scalable System Developmentunmatched
  • Secret Clearanceunmatched
  • Semantic Searchunmatched
  • Software Developmentunmatched
  • Software Engineeringunmatched
  • Structured Dataunmatched
  • United States Citizenunmatched
  • Unstructured Dataunmatched

Description

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: $175-180,000 (+ 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.

Numbers & Facts

LocationWashington D.C., District of Columbia

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