Data Analytics Specialist - Mid Level
Data Analytics Specialist - Mid Level Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security. Why Join Us?
- Innovative Projects: KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
- Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
- Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.
- Identify new sources of data and methods to improve data collection, analysis, and reporting
- Collect customer requirements
- Determine technical issues
- Design algorithms and data manipulation capabilities using R, Python, C++, JavaScript, Go, and other known programming languages
- Build data solutions, tools, and capabilities to enable self-service frameworks for data consumers to monitor and report on data
- Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management, including metadata, lineage, and business definitions
- Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data that support Intelligence products
- Other duties as assigned
- Active TS/SCI with current polygraph
- Have at least 5 years serving as a Data/Cloud Systems Engineer
- Bachelor's degree in engineering or related quantitative science field
- Experience using AWS tools (S3, Lambda, EC2, Cloudwatch, etc)
- Experience using Microsoft Azure
- Experience in developing intelligent algorithms capable of learning, analyzing, and predicting future events, turning those algorithms into AI models and systems, and then testing and maintaining them
- Ability to prepare and use large data sets for analysis as part of creating/developing robust data processing systems
- Generate data exploitation algorithms that can learn, assess, analyze, and organize data for testing while optimizing the Machine Learning (ML) to develop high-performance ML models
- Master's degree in engineering or related quantitative science field
- 5 years of IC experience
- Experience leading teams resulting in successful verification and test strategies/solutions for complex programs
- Experience with cloud development processes
- Experience with industry system engineering practices
- Strong people skills to influence, collaborate and work effectively with all levels of internal and external leadership
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