remote
Enterprise Data and AI Solutions Scientist - SAIC
Software Engineer
Lead data discovery and AI solution development for hyperautomation, leveraging Python, SQL, ML, AWS, and advanced data engineering to uncover hidden insights and build scalable enterprise solutions.
About the role
Key Responsibilities
- Conduct exploratory data analysis to identify unknown data sources, systems, and fields across enterprise environments.
- Design and implement end‑to‑end data pipelines using Python, SQL, and AWS services (S3, Glue, Redshift).
- Develop and prototype machine learning models that drive hyperautomation initiatives and business outcomes.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions and visualizations.
- Document data discovery processes, model assumptions, and performance metrics for stakeholder review.
Requirements
- Proven experience in data engineering, data science, and AI solution development.
- Strong proficiency in Python, SQL, and AWS cloud services.
- Hands‑on experience building and deploying machine learning models at scale.
- Excellent analytical, problem‑solving, and communication skills.
- Secret clearance or ability to obtain one.
Skills
pythonsqlmachine learningaws