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Machine Learning Data Scientist

Blueskyinnovators·Worldwide·Chantilly, US·mid
ml
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We deliver insight to operations: Through technological insight we make new capabilities possible and are committed to transitioning technology fully to operations. Our insights gained from operational interaction further fuels our technology development efforts. Our team is comprised of experienced professionals with diverse technical backgrounds from across the DoD, Intelligence, and Commercial worlds. Through technological insight we make new capabilities possible and are committed to operationalizing the state-of-the-art. The candidate will be responsible for supporting a team of AI/ML staff and Data Scientists in the following tasks: Leveraging AI/ML techniques and solutions to identify complex patterns for predicting object behavior Increasing the efficiency and quality of the discovery process by tightly integrating automated processes, AI/ML techniques and human SME/analyst expertise Develop and prototype AI algorithms and software tools Enhance and maintain current analysis tools, including automation of current processes using AI/ML algorithms Conduct quantitative data analysis using a variety of datasets, including developing retrieval, processing, fusion, analysis, and visualization of various datasets Develop techniques that make use of both digital object track data, text-based reporting, and a variety of other data sets both in a silo and in a fused environment Bachelor’s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields A minimum of five years working experience Hands-on experience implementing Machine Learning models and/or Text Mining Algorithms. Ability to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies Excellent Communication Skills (with the abilty to explain developed tools and ML algorithms to a non-technical audience) Proven ability to work independently to learn new technologies, techniques, processes,

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