Leidos is seeking to harness the power of data to drive business forward and make impactful decisions by ensuring the quality, accuracy, and integrity of data that their Data Science teams rely on.
Requirements
- Demonstrated experience through a combination of academic work/projects/courses and internships in data collection, data management, or similar role
- Familiarity with data collection tools and technologies (e.g., SQL, Python, etc.)
- Solid analytical and problem solving skills
- Strong attention to detail and commitment to data accuracy and integrity
- Ability to work with various teams and stakeholders and take ownership of projects
- Ability and willingness to work hands-on with materials and equipment required to execute a data collection plan
Responsibilities
- Implement, and manage data collection strategies and methodologies to ensure high-quality data acquisition and data labeling
- Collaborate closely with cross-functional teams, including data scientists, algorithm engineers, and image scientists, to understand data requirements and execute data collections on our equipment that meets their need
- Ensure the accuracy, completeness, and consistency of collected data files and data labels by performing regular data quality checks and audits
- Assist with development and documentation for data collection processes and standards
- Train and support technician team members on best practices for data collection, labeling, and usage
- Assist with cataloging inventory of simulants, detection targets, and clutter objects, and work hands-on with these materials to execute data collections
- Stay current with industry trends and advancements in data collection techniques and tools.
Other
- Bachelor’s degree required.
- Must have the ability to obtain a Public Trust clearance (US citizenship required).
- Excellent communication and collaboration skills
