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Required qualifications, capabilities, and skills Formal training or certification on Data Scientist/Engineer and 5+ years applied experience Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research.
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The Data Protection Engineer Senior will independently perform Data Protection engineering activities of building, configuring, troubleshooting, integrating and administrating Data protection technologies aligned to Internal Security’s Data Discovery team.
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Provide technical leadership for process development through the lens of Data Science for new products, including design of pilot plant (PRL) experiments, creation of test plans for plant trials and scale-up from the pilot scale to manufacturing and our Commissioning, Qualification and Verification process for product/process launches.
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We are looking for a well-rounded, flexible Data Science Engineer with experience in computer vision and and an interest in translating business goals into concrete solutions. 3+ years of experience/background in Data Science (degree in statistics, data science computer science, etc.
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As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.
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Bachelors degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience. Role : Data Engineer.
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Sr Data Engineer, Pharma Commercial Digital Partner Data Science Team. The primary role of the Senior Data Engineer is to support and expand the Data & Analytics platforms that process, store, organize the data critical for the data and analytics team.
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Your Opportunity as a Senior Scientist (Process Engineer – Data Scientist), Research & Development-Frozen Handheld and SpreadsIn this role you will be responsible for leveraging the use of data science tools and techniques to develop and make inferences on data from process systems.
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1- 3-year minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake.
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Data engineering certification (e.g. IBM Certified Data Engineer) or a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field is a plus.
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In the alternative, a bachelor's degree or its equivalent in Computer Science or a related field and at least 5 years of progressive experience as a Data Engineer or related role would be acceptable.
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You will have the opportunity to work with a cross-functional team of technology, behavioral science, statistics, and human resources functional experts (talent management, talent acquisition, learning, diversity, compensation, benefits) to build the next generation of people analytics tools.
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BS in Business Analytics, Data Science, Computer Science, or related field. Our location in Columbus, OH, currently has an opportunity for a Data Engineer. 5+ years in data engineering role.
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