Senior Data Scientist
Senior Data Scientist 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.
- Conducts scientific Research and Development towards the tasking, collection, processing, and dissemination of data
- Collects substantial amounts of data using analytical, statistical, and programmable skills
- Analyze data sets to discover actionable patterns and trends for business use
- Uses scientific methods, processes, algorithms, and systems to extract insights from structured and unstructured data
- Applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights.
- Assess other's R&D proposals for feasibility and progress towards mission goals
- Solve difficult, non-routine problems by applying advanced analytical methodologies and improving analytic methodologies
- Developing custom searches
- Communicating and coordinating with internal and external partners as needed
- Other duties as assigned
- Active TS/SCI with current polygraph
- Have at least 10 years serving as a Data Scientist
- 5 years of IC experience
- Bachelor's degree in engineering or related quantitative science field
- Demonstrated expertise and 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 demonstrate the use of large data sets to research, develop, and generate algorithms that can learn and assess, analyze, and organize data, execute tests, and optimize the learning process to help develop high-performance ML models
- Master's degree in engineering or related quantitative science field
- 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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