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Job Location: United States
Title:
Machine Learning/ Algorithm Developer
KBR is seeking a highly motivated Machine Learning and Algorithm Developer to join our team. The successful candidate will incorporate a range of machine learning and algorithm tools to support organizational goals. The candidate will develop unique ways to process data that supports collection assessments and analysis. Candidate will work as part of an integrated development team at the US Government site, NASIC
Responsibilities:
Analyze raw data to discern a set of rules and the factors influencing those rules in order to achieve organization goals
Apply machine learning in large data environments
Complete data mining, predictive modeling, clustering, and classification
Independently write reports detailing methods, results, and impacts of assigned issues
Minimum Qualifications:
Bachelor’s degree in Digital Design or Computer Science, mathematics, physics, statistics, operations research, engineering, or equivalent technical field.
Technical skills, knowledge and experience to accomplish work
Demonstrated ability to effectively communicate verbally and in writing
Clearly and concisely express multifaceted concepts
Develop ideas in a logical sequence leading to a validated conclusion
Have experience in machine learning/algorithm creation related reports based upon the resulting work/accomplishments
Proficient in programing using Python, C++
Have current experience (within the last 2 years) in machine learning algorithm-related work
Desired Qualifications:
Master’s of Science degree
Strong knowledge of Linux and Windows OS
Experience with bug tracking software
Security Requirements:
Must have an active TS-SCI security clearance
In compliance with the U.S. federal government’s vaccine mandate, only candidates who are fully vaccinated for COVID-19 or have a reasonable accommodation or approved medical exception will be considered for this position.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.
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