Redbeard Solutions

5 Redbeard Solutions Jobs Hiring Near You

Full Stack Engineer

Boston, MA · On-site

$185K - $195K/yr

Secret (prefer TS) Role Overview We are looking for a seasoned Full Stack Engineer to contribute to the development of a next-generation AI platform powering advanced, data-driven solutions. This ...

Data Engineer

Boston, MA · On-site

$165K - $175K/yr

Secret (prefer TS) Position Summary We are hiring a skilled Data Engineer to contribute to the development of a sophisticated AI-powered platform that supports advanced, data-driven solutions. This ...

Redbeard Solutions Jobs Information

Infographic showing various job openings at Redbeard Solutions in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Platform Data Scientist

RedBeard Solutions

Washington, DC • On-site

$180K/yr

Full-time

Posted 25 days ago


Job 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.