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
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.
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.
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.
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.