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As a Director, Data Scientist for HR, you will serve as a member of the HR Data Science team within Employee Insights responsible for performing, developing, and executing on research and building predictive models dealing with recruitment, career advancement, mobility, organizational structures, performance management, succession, compliance, listening surveys, equality programs, compensation, inclusion & diversity, learning, and talent development.
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Join our team as a night shift , full-time , Blood Bank Medical Laboratory Scientist (MLS) in Montclair, NJ. Previous clinical laboratory experience as a Medical Laboratory Technician, Medical Technology, Clinical Laboratory Scientist or Medical Laboratory Scientist within a clinical laboratory.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or other related subject (will also consider BS degrees in these areas for candidates highly qualified across other requirements or with significant work experience.
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Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field. General knowledge of data science programming languages such as R (preferred) or Python, and proficiency in database query tools such as SQL.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling.
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4+ years of professional experience in environmental consulting / Energy market with applied science and permitting in the fiber optic siting/permitting sector and associated marine environment impact assessment skills to assist in support in the OSW (Offshore Wind) market to include studies, surveys and permitting in support of BOEM, SAP and COP Submittals.
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Working directly with Senior Management, investment professionals and top executives from portfolio companies, the Data Scientist will be responsible for the implementation and ongoing operational readiness of an array of data science technologies and practices to enable the firm's ability to analyze complex data sources, develop predictive and analytical models, and advise on smarter data utilization.
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Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, DataRobot, C3, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite etc.
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Master's Degree in Computational Science, Engineering, Hard Sciences, Computational Linguistics, Applied Mathematics, Physics, Behavioral Sciences, PhD would be a plus, JD (Juris Doctor) with STEM background.
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Master’s degree within a highly technical/quantitative discipline (Data Science, Statistics, Computer Science, Mathematics, etc.) Strong working knowledge of data mining algorithms including AI and ML techniques such as regression, decision trees, probability networks, association rules, clustering, deep learning, neural networks, Bayesian models, etc.
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Computer Science, Statistics, Mathematics, Physics, Econometrics, Computer science or Engineering, Business / Economics. VP, Portfolio Management Data Science. Will lead initiatives to enhance processes and infrastructure, leading the implementation of data science initiatives, applying expertise in develop monitoring reports, dashboards, and predictive models to enhance risk assessment capabilities.
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At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline.
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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. Additionally, the Senior Director will help build and lead a new team within Audubon Technology, operating in close partnership with the other Data & Technology teams (Data Analytics, Data Engineering, and Enterprise GIS), Audubon Conservation (including the Science Division), the Chief Strategy Integration office, and other business teams across Audubon.
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data science scientist big applied mathematics jobs in Newark, NJ
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