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A Master’s degree or Ph. D. in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics or related field.
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Data engineering, database engineering, business intelligence, or business analytics, Master’s degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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Performing pat down searches, operating an x-ray machine, screening baggage, and reviewing tickets. At least one year of full-time work experience in security work, aviation screener work, or X-ray technician work.
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We Are Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML) , and data analytics that enable clients to design, build, launch and optimize high-performance computing environments.
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Our IDEAL Studio Production Assistant has experience in e-commerce, master data/data catalog management, a retail background with 360° product photography and studio experience. As Studio Production Assistant with Data Tech skills you will play a crucial role in facilitating the smooth operation of 360° product photo shoots and capturing accurate product attributes.
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Continuous Learning: Stay abreast of latest industry trends and technological advancements in data science and machine learning to propose and drive adoption of new tools and methodologies.
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Incorporate advanced consumer data (Macro Level Insights Market Research, Consumer Decision Tree, Household Panel data, customer shopper data, Luminate/Madrid, rich mix, JDA) into analyses as relevant.
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Mastery of data tools - Optimization of category management tools - assortment and space management. Support Category Management strategies for the company and retailers based on industry trends and consumer insights by leveraging various data sources to construct dynamic presentations in order to communicate strategies and achieve objectives.
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The trainee will be required to travel to complexes within their bird group and will be responsible for learning the day to day activities of broiler managers, breeder managers, live managers, hatchery managers as well as gain knowledge in areas of veterinary medicine, broiler nutrition, breeder nutrition, broiler tech services, breeder tech services, and hatchery services.
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Work with individual complexes to improve hatchery and feed mill results. Complete 4 week rotation in breeder tech services. Work with individual complexes to improve pullet and breeder results. Complete 4 week rotation in feed mill tech services.
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As the Field Category Manager for Walmart, you'll develop objective, data driven, category insights that help deliver both sales and margin goals for all products within Walmart and Sam’s Club account(s.
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Experience using POS Sales data alongside other data sources such as invoice, product margin, supply chain, web marketing, product, and shopper behavior metrics to provide a holistic program for retail growth, preferred.
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Education: Current student or Bachelor's in the following majors encouraged to apply: Food Science, Meat Science, Sensory Science, Animal Science, Poultry Science, Culinary, Psychology, and Statistics majors are preferred.
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NWACC employees are dedicated to fostering a diverse educational community and cultural learning environment that supports student success. Make recommendations to the Dean of Health Professions for selection of supplies, equipment, equipment repairs, textbooks for courses of study, and the scheduling of classroom and laboratory facilitiesMaintain current knowledge in the subject matter area and effective teaching/ learning strategies.
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Proficiency in data analysis tools and programming languages (e.g., Python, SQL) and cloud platforms (Azure Data bricks , GCP) In this role, candidate is expected to work with cross-functional partners such as data engineering, product management and other data scientist to create business intelligence and marketing / digital analytics solutions.
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