Salary
💰 $85,150 - $153,925 per year
Tech Stack
ETLNumpyPandasPythonScikit-LearnSQL
About the role
- Contribute to AI solutions across defense, intelligence, healthcare, energy, and space exploration
- Work with multidisciplinary teams to transition AI research into operational environments
- Define and create scalable data processing pipelines to generate quality data for AI
- Develop, operate, and maintain data architectures that support discovery and metadata tagging
- Design and implement data access controls and data transformation pipelines
- Analyze data to detect anomalies
- Design, build, train, and evaluate machine learning models
- Communicate results and methods to internal and external stakeholders
- Work within Agile teams of AI/ML researchers and engineers
Requirements
- Bachelor's degree in Computer Science, Data Science or related field and over 4+ years of relevant experience, or a Masters with 2+ years experience
- Additional experience may be considered in lieu of degree
- Strong Python programming fundamentals
- Experience with data repositories and ETL techniques
- Good understanding of machine learning algorithms, tools and platforms
- Experience with AI/ML tools, such as common Python packages (e.g., scikit-learn, NumPy, Pandas)
- Experience with tabular data analysis using languages such as SQL, R, and/or Python
- Experience using generative AI and LLM-based tools
- Experience with statistical modeling and data analysis
- Experience applying data quality and data conditioning methods
- Understanding of transformers and foundation models
- Self-starter with high intellectual curiosity
- Great communication skills, able to explain model results to a non-technical audience
- Proficient in data exploration techniques and tools
- Ability and willingness to obtain a Secret or Top Secret security clearance (preferred)