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As ABSC’s next TS/SCI-cleared Data Scientist, you will play a critical role in the design, engineering, development, deployment, and use of software for the 10-year DOMEX Technology Platform (DTP) contract, where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Department of Defense (DoD) and Intelligence Community (IC) enterprise.
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The Clinical Data Scientist position interacts with many FDA stakeholders across several Offices and Centers specifically with clinical reviewers (Medical Officers) and statistical reviewers.
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The Data Scientist provides technical staff with competencies in data science and data engineering that will specifically focus on data science workflow automation and developing technical data artifacts.
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As a Senior Full Stack Data Scientist, you will be an integral part of our core team, driving the development of our groundbreaking demand forecasting engine for apparel. 4+ years of experience as a Data Scientist.
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Demonstrated experience in academia, industry and/or government with imagery science, photogrammetry, Lidar/3D data, Spectral SAR, and/or Thermal processing. Apply and develop statistical and quantitative methodologies aligned to Lidar and 3D data, Radar data, Thermal data, Spectral data, OPIR data, or Photogrammetric processes to refine and improve GEOINT analysis and conclusions.
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The Human Resources Research Organization (HumRRO), a non-profit national leader in workforce assessment, human capital consulting, and educational research, is seeking a full-time Data Scientist to join our growing organization.
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They will work under the supervision of a senior bioinformatics scientist. Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications: Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
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4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role. We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams.
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The Principal ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
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As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
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Are you an AI Scientist that likes to perform research-level AI/ML data analytics? 6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes.
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The Data Scientist is responsible for assisting with analyzing the People's Republic of China (PRC)'s impact on development globally, a key and highly visible foreign policy issue within USAID. From day to day, you will work to translate large and complex datasets to produce insights and actionable recommendations to key stakeholders in USAID missions and leadership.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Primary point of contact for data visualization dashboards and their management. Data Science & Analysis. Four (4) or more years working with data. Works with Guidehouse, its partners, and the customer to build and maintain qualified, full-time staff and a pipeline of surge staff according to customer and mission priorities.
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What We Do:Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges.
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