Platform Data Scientist

Job Description

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.