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GLOBAL CONSUMER PRODUCTS DIVISION (CPD)Mission Statement: Become the global leader in water transforming systems, by creating world-class, consumer-centric brands that drive penetration of iconic products and deliver recurring revenue through proprietary consumables and omni-channel experiences that empower consumers in choice for their water needs that meet their lifestyle.
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As a Data Science intern on our team, you’ll be working on various algorithms and using Natural Language Processing (NLP) methods to work on some of our most interesting problems using expertly curated datasets.
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Education: Master's or equivalent graduate degree or 2 full years of progressively higher-level graduate education leading to such a degree in a field which demonstrates the knowledge, skills, and abilities necessary to do the work of the position, such as: such as Operations Research Analyst, Mathematician, Mathematics Statistician, Statistician, Computer Science or Date Science.
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Bachelors in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience or Masters/PhD in mathematics, physics, computer science, or a related quantitative field with at least 2 years of relevant work experience.
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The ideal candidate should have a strong background in software engineering, computer science, machine learning, natural language processing, and deep learning. This is a 100% remote/work-from-home role, and open to most locations/countries.
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The employer will alternatively accept a Master’s degree in Electronic Engineering, Computer Science, Computer Engineering, or related field of study plus five (5) years of experience in the job offered or as Business Analyst, Software/Application Developer, Software Engineer, Test Engineer, IT Team Lead, or related occupation.
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Actuarial Science, Business Administration/Management, Commerce, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Economics, Engineering, Engineering and Business, Finance, Information Technology, Management Information Systems, Mathematics, Mechanical Engineering, Operations Management/Research, Risk Management, Software App, Statistics.
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Digital Farming is looking for talented and motivated Computer Science or Engineering students with solid Computer Science and Programming fundamentals for several of our engineering teams.
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Masters/PhD in mathematics, physics, computer science, or a related quantitative field with at least 2 years of relevant work experience. Qualifications– Bachelors in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience.
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Applicable bachelor’s degree or equivalent work experience (6+ years) within Risk Management, Internal Audit, Third Party Risk Management, Compliance, Cybersecurity, IT Security Governance, Computer Science, or other related fields.
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Relevant degree in geospatial related field such as: Geography, Geology, Environmental Science, Remote Sensing, Urban Planning, Statistics/GeoStatistics, Applied Mathematics, or Computer Science.
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We are passionate about incorporating the latest technologies in computer vision, image processing, computational photography, machine learning and artificial intelligence into todays most advanced products: smartphones, tablets, PCs, and greatly improve the consumer experiences.
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The Department of Mathematical Sciences offers undergraduate degrees in Actuarial Science, Data Science, Mathematical Sciences, and Mathematics & Computer Science, and offers graduate degrees in Pure Mathematics, Mathematics Education, Mathematics for Teaching, Applied Mathematics, and Applied Statistics.
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You will have opportunities to contribute to the business by solving actual technical problems with innovative ideas, try out your idea by writing code and testing your code, work with the development teams to integrate the solutions into products, collaborate with other cross functional teams, file patent applications, and make technical presentations.
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We have an opportunity for a remote HS Data Science Intern on our Health Solution team. Be working towards a BS or MS degree in Data Science, Statistics, Analytics, Computer Science, Information Systems, or a related degree.
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remote work computer science consumer products jobs in Chicago, Windsor-mill, Maryland
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