Job Description
Job DescriptionJob 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
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Develop and deploy AI and machine learning solutions that transform large volumes of structured and unstructured data into actionable insights.
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Design, build, and optimize production-ready NLP and Generative AI pipelines using modern LLM technologies.
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Work with multimodal language models to support intelligent search, knowledge discovery, content generation, and automation.
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Build predictive models, recommendation engines, classification models, and semantic retrieval solutions.
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Create and maintain knowledge graphs and ontologies that improve how enterprise data is connected and consumed.
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Partner closely with software engineers, product teams, and domain experts to move AI solutions from experimentation into production.
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Continuously evaluate, fine-tune, and improve model performance while maintaining high standards for quality and scalability.
What We're Looking For
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U.S. Citizenship is required.
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Active Secret Security Clearance (Top Secret preferred).
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3+ years of professional experience as a Data Scientist.
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Prior experience building enterprise AI or data platforms is highly desirable.
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Strong understanding of NLP, Transformers, LLMs, and Generative AI.
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Hands-on experience working with OpenAI GPT models and multimodal LLMs.
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Experience building end-to-end machine learning pipelines using Python.
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Knowledge of knowledge graphs, ontologies, semantic modeling, or graph-based data solutions.
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Experience using Git and modern software development practices.
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Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Preferred Background
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Experience supporting Defense or Public Sector programs.
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Experience working with data across classified environments.
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Comfortable collaborating within cross-functional engineering and product teams.
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A systems thinker who enjoys solving complex technical challenges and building scalable AI solutions from concept through production.