Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture.
Responsibilities
- Design, build, and validate machine learning and statistical models for mission-focused projects
- Collect, clean, and engineer features from complex, multi-source datasets
- Translate business and mission requirements into analytical approaches and experiments
- Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders
- Collaborate with engineering, cyber, and product teams to deploy and operationalize models
- Ensure data quality, reproducibility, and compliance with security and ethical standards
- Document methods, assumptions, and analyses for review and knowledge sharing
Required Skills
- Python
- RSQLMachine learning (supervised and unsupervised)
- Statistical modeling and hypothesis testing
- Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib)
- Cloud platforms (AWS/Azure/GCP)
- Version control (Git)
- MLOps and model deployment
