Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Use Agile methodologies to develop software
Requirements
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)
M.S. or PhD in data science, AI/ML, computer science, or related field (Desired)
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 ) (Desired)
Experience leading an interdisciplinary team of researchers and software developers (Desired)
Experience with Large Language Models (Desired)
Familiarity with applying clustering algorithms and/or deep neural networks to real life problems (Desired)