Senior Data Scientist
About The Position
Plateau is seeking a highly skilled Senior Data Scientist with deep expertise in big data, artificial intelligence, and advanced analytics within secure federal environments. This role will drive the design, development, and deployment of data-driven solutions that support mission-critical objectives. The ideal candidate combines strong statistical and mathematical foundations with hands-on experience in machine learning, data architecture, and large language model (LLM) deployment. This individual will serve as a technical leader, guiding strategy, evaluating emerging AI capabilities, and delivering scalable solutions in FedRAMP-authorized cloud environments.
Requirements
- Deep knowledge of big data platforms and commercial off-the-shelf (COTS) statistical and analytical tools (e.g., R, SAS, Stata, data lake technologies)
- Strong experience in database management and ETL processes
- Expertise in data architecture, AI technologies, data science tools, and data lake environments
- Advanced background in statistics and mathematics
- Proficiency in programming languages such as Python and Java
- Experience with machine learning algorithms and model development
- Experience with data visualization tools (e.g., Tableau, Matplotlib)
- Comparative understanding of leading AI/LLM models (e.g., Claude Code, ChatGPT, xAI), including capabilities, limitations, and trade-offs such as latency, cost, fine-tuning requirements, and context window size
- Experience deploying and managing LLMs in FedRAMP-authorized environments, including GCC, GovCloud, or other secure cloud infrastructures
- Principal Data Scientist (PDS) Certification
Responsibilities
- Design and implement advanced data science and AI solutions to support enterprise initiatives
- Develop, maintain, and optimize data architectures, data lakes, and ETL pipelines
- Apply statistical modeling, machine learning, and predictive analytics to solve complex business and mission challenges
- Evaluate, compare, and recommend AI/LLM models based on performance, cost, latency, security, and scalability considerations
- Deploy and manage AI/LLM solutions within secure, FedRAMP-authorized cloud environments
- Communicate complex analytical findings to both technical and non-technical stakeholders
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
