Data Analytics Specialist - Mid Level

KBR • Chantilly, VA

89d

About The Position

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. KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace. Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense. This position is contingent upon contract award.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

What This Job Offers

• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees