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The Department of Data Science (DS) at New Jersey Institute of Technology (NJIT) seeks candidates to fill Adjunct Professor positions. Adjunct Instructor - Data Science. Successful candidates must have an MS degree in Data Science or Computer Science or a closely related area (a PhD degree is preferred.
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BS in Medical Technology, Clinical Laboratory Science or a chemical, physical, or biological science degree. Demonstrate proper communication skills to relate pertinent data or information about the patient or laboratory sample to appropriate care provider.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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A Master's degree in health services research, epidemiology, biostatistics, public health, or a subject area with a strong focus on the application of data science to healthcare data with 5+ years of hands-on programming experience using healthcare data.
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Bachelor/Advanced degree in Information Management, Engineering, Business Analytics, Data Science, and Operations Management. Our cloud-based platforms - Axtria DataMax, Axtria InsightsMax, Axtria SalesIQ, and Axtria MarketingIQ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning and manage end-to-end commercial operations.
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Knowledge of social science research methodologies, data applications and repositories, and legal and government information sources. Ability to assess curricular and research needs in social science disciplines, select materials, and build library and data services to meet those needs.
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Job ResponsibilitiesWork with the key business partners to identify important business use cases and their respective master data domains to map out the master data strategy and execution plan Help Business define strategy and execution plan for Product & Customer Hierarchies across multiple data sources in scope (SAP, FIT, Nielsen, etc.
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O Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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Qualications -Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience-Experience implementing software applications supporting data lakes, data warehouses and data applications on AWS for large enterprises-Professional with 14+ years of IT experience in Requirement gathering, Design, Development.
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Collaborate with IT and data science teams to leverage big data and artificial intelligence in pharmacovigilance. Clinical Research, Clinical Trials, Leadership, Regulatory Compliance, Safety Science, Strategy.
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Proficiency with tools such as Google Analytics, DoubleClick/DFA, MOAT/IAS, Google Data Studio, Prisma, Spectra. Mentor and guide Associate Media Planners, Sr. Planners/Planners, and Managers through the planning process, including strategy development, RFP evaluation, negotiation, tactical planning, execution, reporting, and billing.
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Design and implement a comprehensive data governance technical solution Blueprint and capabilities roadmap that aligns with the organization's Data Governance Strategy. We are looking for a Data Governance Technical Collibra/Alation Specialist, who will join us in Data Management practice, driving Data Governance best practices, strategy, and adoption.
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Data Center Technician Job Description - Run Ops (Layer 1) Responsibilities: Cabling & Termination ● The Fiber Technician will mount and install racks, patch panels, fiber optic and hardware. Data Center Technician Job Description - Run Ops (Layer 1) Responsibilities: Cabling & Termination ● The Fiber Technician will mount and install racks, patch panels, fiber optic and hardware.
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Audible Content Data Science team partners with business, technology, and product leaders to solve problems related to Content Understanding, Content Evaluation, and Recommendations, relying on Natural Language Processing (NLP), ML, Deep Learning, LLMs/GenAI. We operate in an agile environment in which we own the life cycle of research, design, model development and, often, deployment.
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Qualifications: 5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry. Strong knowledge of data analytics, data science, and ETL processes.
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data science strategy jobs Company: Apple in Springfield, NJ
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