About the job Platform Data Scientist
Job Title: Platform Data ScientistLocation: 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
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.
