Principal Data Scientist

Job Title: Principal Data Scientist

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Continental US

Anticipated Posting End: 7/6/2026

The Opportunity: 

We are looking for a  Principal Data Scientist  looking for new challenging problems. You will lead the development of AI/ML algorithms in a multitude of disciplines from large language models, natural language processing, and time-series predictive analytics.  

 

Responsibilities: 

Lead and mentor an interdisciplinary team consisting of both developers and researchers. The team's core focus is the implementation of ETL pipelines to support a variety of AI/ML and LLM solutions, which in turn address a broad range of customer challenges. 

• Assembles large, complex sets of data to support AI/ML algorithm implementation  

• ​Builds required infrastructure for optimal extraction, transformation and loading of data from various data sources  

• ​​Curate and maintain data that is stored in support of metrics and evaluation  

• ​Implement Artificial Intelligence/Machine Learning algorithms  

• ​Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes  

• Using Agile methodologies to develop software.​ 

Qualifications: 

Required:  

• B.S. in data science, AI/ML, computer science, or related field​

• ​​Minimum 10 years of relevant experience as a Data Engineer/Scientist.​ 
• Active TS/SCI with Polygraph security clearance

• ​​Experience developing data pipelines and normalizing data with canonical Python packages (e.g. NumPy, Pandas, Polars)  

• ​Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket) 

Desired:  

• M.S. or PhD in data science, AI/ML, computer science, or related field​ 

• ​Experience with Gitlab, DevSecOps utilizing test-driven development, containers, (e.g. Docker, Docker Compose), cloud services (e.g. AWS), tools for distributed computing (e.g. Spark, Pyspark)   

• Experience leading an interdisciplinary team of researchers and software developers 

• Experience with any of the following: 

• Large Language Models and experience identifying ways to incorporate them into new domains and applications 

• Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision 

• Natural Language Processing algorithms such as BERT 

• Reinforcement learning and familiarity with Gymnasium Gym, OpenEnv, TorchRL, RLlib, and Stable Baselines 

• Applying clustering algorithms and/or deep neural networks to real