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We are seeking a passionate data scientist to work together with the Peacock Science & Technology Fellow on critical Peacock Decision Science initiatives and to boost innovation and research in Machine Learning, Artificial Intelligence and Media Science.
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We have already launched our own Enterprise Data Hub, the digital backbone of this company, and we need more engineers in the data analytics discipline who are forward thinking, self-guided and innovative to continue to build out the hub across our lines of business, integrating all of our data, mastering data and focusing on data quality to fundamentally shift the way Charles River operates through data science and advanced analytics.
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Bachelor of Science in wildlife biology, ecology, or a closely related field with two years of experience in field work that includes: 1) capture and handling of turtles, 2) project and/or field team coordination, and 3) data management.
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NASA's IMPACT Project Office monitors trends and progressions across the informatics, data science, and information technology communities in order to inform strategy and develop effective solutions for Earth science data management and dissemination.
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Job Description: The Role We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities.
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Experience with building AWS cloud-native data science applications. Either a patent, or speaking roles at major data science conferences (Open Data Science conference, etc.
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The Head of Data Science will lead data science efforts related to the business of the Brooklyn Nets, New York Liberty, Long Island Nets and Barclays Center. Lead the development and implementation of the company's data science strategy, including the use of predictive analytics to tell a story, deliver insights and drive strategic growth.
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Applies a variety of methods based on standards and metrics to review and improve data acquisition and data management processes such as statistical analysis, machine learning, data mining, predictive analytics, time series analysis, multivariate regression analysis, statistical process control and optimization solutions.
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Experience leading data science infrastructure strategy and implementation and familiarity with data warehouse design, development, and best practices. Job Description We are looking for a experienced leader to manage a newly centralized Data Science and Analytics team.
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Potential candidates should have a terminal degree in public health, epidemiology, health services research, biostatistics, data science or related fields. A Ph. D. in public health, epidemiology, health services research, biostatistics, data science, or related fields.
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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices is seeking a Business Analyst, Data Science to contribute to the creation of business and data analyses using technical platforms that enable case teams to efficiently manage and monitor vital information, deadlines, and documents related to their practice, clients, and matters.
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We are looking for a Principal Software Architect with experience in data-centric Internet systems, machine learning, cognitive science, AI, monolithic and microservices architectures, modern data architectures, reliability, resiliency, availability, cost efficiency, data privacy, security, compliance, technology selection, mentoring, and structured and unstructured engagements.
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PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 1+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development, ideally in Photovoltaics, Power Engineering, or other renewable energy field.
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data science jobs Title: data architect Company: Bae Systems
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