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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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About The Role:As a Senior Data Analyst, Marketing Data Science at Dow Jones, you will use data to identify trends in subscription activity, both in terms of new subscriber acquisition and existing subscriber engagement.
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Master's Degree in a Technical field, Political Science, Business Intelligence, Data Science, or Intelligence Analysis. Hunt Team Members interact daily and provide support to the overall CSOC through a wide variety of industry leading capabilities and data sets to include Endpoint Telemetry data, Live Network Packet Capture, IDS/IPS, Security Orchestration, Automation, and Response (SOAR), Cyber Threat Emulation (CTE), and Data Analytics Platforms.
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Construction Expertise: Oversee the entire spectrum of construction activities, from initial estimates to contractor bidding processes for industrial facilities & structures (Cold Storage Distribution Centers, Food & Beverage Processing, Packaging, & Distributions Centers, Life Science and Advanced Technology Manufacturing Facilities, Industrial Tilt Wall Distribution Centers, ASRS Robotics Distribution Centers, Data Centers, Clean Room/Dry Room Construction, MEP Driven Projects, etc.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Potential Certifications: PMP, ITIL, PMI)Analytics: Database Technologies, Artificial Intelligence, Machine Learning, Data Science, Data Visualization. MIS: Management Sciences, Decision Sciences, Information Sciences, Product Management, Project Management, Program Management, Portfolio Management, Human Communications, Strategic PlanningAnalytics: Database Technologies, Artificial Intelligence, Machine Learning, Data Science, Data Visualization, etc.
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Perform technical data analysis of IFF systems and prepare comprehensive system level evaluations to include the review and interpretation of supplementary test data (i.e. antenna patterns, EMI/EMC reports, Software Version Description documents, interrogation management schemes, etc.
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Degree (Masters preferred) in Computer Science, Information Systems, Data Science, or related field and 3-5 years of experience in data engineering, or an equivalent combination of education and experience.
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The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure.
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The postdoc will collaborate with Cornell Lab's quantitative team to develop macro-demographic indices of avian recruitment and mortality, based on continent-wide radar data (NEXRAD), broad-scale citizen-science data (eBird) and fine-scale data from the National Ecological Observatory Network (NEON) and Phenocam.
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PhD in a relevant discipline such as: computer science, math, computer engineering, statistics, cognitive science, electrical engineering, bioengineering, data science, etc.
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To that end, we seek qualified data science candidates interested in applying their skills to organizational and educational assessment challenges. Are you interested in using innovative data science to help make decisions in high-stakes assessment settings affecting individual employees, students, members of the military, and credentialed professionals.
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Bachelor's degree or equivalent experience Bachelor’s degree in Business Analytics, Information Retrieval/Information Technology, Computer Science, Market Research, Psychology, Digital Libraries, Math/Statistics, Digital Marketing, Content Management, Digital Analytics, Data Science, or similar field Req.
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data science jobs Title: senior data engineer Company: Jobget
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