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Provide technical support and guidance to global manufacturing plants, warehouses, R&D centers, and offices in the areas of fire protection, fire alarm, code consulting, and general loss prevention.
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Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights) Big Data/BI, Test & Test Automation, DevOps, MS Stack,etc.
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World-class skills in Data Analytics with advanced analytical languages (Python, R, Spark, Scala, and/or Julia) This individual will dive deep into data science domains, model workflows, and data pipelines for our manufacturing business, while concentrating on support for the entire enterprise.
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We are looking for adjunct faculty who can teach Graduate and Undergraduate courses in Information Systems and Technology (General IT, Software Development/Programming/Software Engineering Management, Data Management/Cloud Administration/Database, IT Project Management/Information Systems Management, Networking/Network Administration/Enterprise Network Management, Cybersecurity/Information Assurance/IT Security/Computer Security or Forensic Management.
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Support vendor risk management and DPIA programs to ensure third parties comply with the Firm’s privacy and data protection requirements. This role requires Data Loss Prevention (DLP) program experience, including conducting investigations related to data loss, data exfiltration, or unauthorized access or use of data, or experience using eDiscovery solutions or similar technology.
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Gather research for analysis of the Media and Sports landscape, competitive spending, PNVR, program ratings, VPVH, syndicated research, RL Polk, Zenith Zoom tools, BDI/CDI, daypart mix, R/Fs, etc.
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Training or experience with Databricks, Spark SQL or Python. Experience with real world healthcare data such as MarketScan, Optum, EMR, EHR, DRG, PharMetrics, and/or Medicare databases. Candidates must have excellent SAS programming skills and the ability to implement complex data step logic.
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Automating deployments and operations using scripting languages such as Python and infrastructure as code tools such as AWS CloudFormation and Terraform. Expertise in at least one programming language, such as Python or Golang.
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Must have a minimum of 8 years of professional experience in one of the following positions: a corporate or regional chef in an operator setting; a hotel sous chef (or higher) for a boutique or upscale hotel company with experience in fine dining, catering, banquet operations; an R&D chef for a manufacturer of RTU products; a consultant chef for an agency specializing in National Chain Account, Industrial R&D or Hotel Chef operator sales.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Bachelor s degree in a relevant field (e.g., Business, Computer Science, Data Science, or equivalent experience) from an accredited university.
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Proficiency in Python, R, Tableau, PowerBI, SAS, and other BI software. Strong analytical skills to convert consumer insights and performance data into high-impact product initiatives.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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What you'll do Lead and drive Generative AI Initiatives within the Cloud Platform team, play a central role in identifying and developing generative AI projects that innovate content creation, enhance decision-making processes, and provide predictive analytics, revolutionizing data interaction across business landscapes.
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Demonstrable skill in data querying languages (e.g. SQL), scripting languages (e.g. Python, Perl), statistical/mathematical software (e.g. R, SAS, Matlab, etc.) Success will be measured by your ability to free our data from data jail, enable users to self-serve, and enlighten Executives with new business insights that reduce costs and drive revenue.
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big data python r jobs Title: business intelligence developer in Dallas, PR, France
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