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Partner with fellow data scientists, engineers, and analysts to establish and manage machine learning pipelines. The perfect candidate for them possesses a deep grasp of machine learning principles and algorithms, with hands-on expertise in harnessing Databricks for model development and deployment.
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PharMerica is the long-term care pharmacy services provider of choice for senior living communities, skilled nursing facilities, public health organizations and post-acute care organizations. PharMerica is aclosed-door pharmacywhere you can focus on fulfilling the pharmaceutical needs of our long-term care and senior living clients.
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Plus/Nice to Have Skills/Prior Experiences: Experience working in cloud environments, namely Microsoft Azure Industry certifications in general technology and security (e.g. Network, Security, CySA, AWS Certified Cloud Practitioner, Microsoft Azure Fundamentals, etc.
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Experience within the transformation of traditional data center security measures into industry adopted cloud technologies. The Senior Manager – Aircraft Cybersecurity Operations is a technical leader responsible for leading a team of highly innovative cybersecurity engineers responsible for assessing and maintaining end-to-end security architecture of United’s aircraft-related product(s)/application(s)/service(s.
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Coldwell Banker Real Estate was the first real estate brand to harness the power of big data; the CBx Technology Suite uses predictive analytics and machine learning to analyze markets, target buyers and sellers and provide agents with a simple platform to create unique and effective marketing plans for each listing.
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You will oversee field monitoring and testing of soils including boring investigations and soil type classification and interpret soil, bedrock and groundwater elevation and quality data. Senior level Geologist/ Hydrogeologist responsible for leading complex projects requiring innovative investigation techniques.
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The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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This role ensures that Sirva has a fast, easy, and collaborative analytics platform that allows data scientists, data engineers, and business analysts to work together to analyze data and build machine learning models on a single, unified platform.
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Previous hands-on experience with DSPs (e.g. DV360, The Trade Desk), DMPs (Adobe Audience Manager, Salesforce DMP, Oracle DMP), Media Management (Prisma by Mediaocean), Social Network Ad Managers (Meta, Snap, TikTok), SSPs (Index Exchange, Magnite, PubMatic) and/or Data Onboarding (LiveRamp, Neustar.
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Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building America’s First Smart Network.
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Oven/Proofer Operator: Sets up and operates the Proofer, Oven, Depanner, water-slitter, seeder, topping machine and associated conveyors and guides for various products. Sets up depanner, water-slitter, seeder and topping machine for various products changing templates/speeds.
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A privately held company, Ferrara has its global headquarters in Chicago and an operational network of more than 27 locations in North America, Brazil, and China that includes manufacturing, distribution, sales, and R&D facilities.
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Collaborate with Technology to future-proof data & analytics software, tools, and code to reduce risk and support pipeline owners Work with Legal and Privacy teams to adhere to data privacy and security standards Work with Data Architect to implement the data models, standards, and quality rules Work with the Data Science team to understand data formatting and sourcing needs to enable them to build out use cases as efficiently as possible.
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Proven expertise with a track record of solution delivery using various data integration solutions in situations requiring real time (synchronous and asynchronous) messaging, Publish/Subscribe models, Microservices patterns, Middleware, Extract, Transform and Load (ETL) and other related methodologies in a multi-user, multi-platform, multi-tier environment.
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Deep understanding of various AI technologies, including machine learning (ML), natural language processing, computer vision, deep learning, retrieval-augmented generation (RAG), and generative AI models, and programming languages such as Python, R, or Java.
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