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Experience working with data science teams and familiarity with data analysis, modeling, and machine learning concepts. Relevant certifications in healthcare, business analysis, or data science domains.
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The Data Delivery team specifically provides consulting and project management services related to Data-as-a-Service, master data management, enterprise data models, and other custom solutions outside of our core platform.
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S+D itself is part of the broader Windows and Web Experiences Team (WWE) and this position will collaborate with and influence other data science and metrics groups in WWE such as Edge, MS Start, Maps, Bing Ads and more.
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Is responsible for driving top and bottom-line channel growth through data-driven analysis, replenishment and supply chain analysis and report development of KPI’s and dashboards for multiple retail customers and supporting operations.
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The Research Associate will facilitate data-driven decision-making by developing, applying, and disseminating statistical and data science methodologies, as well as supporting the development of database and software applications within IDA. The position supports and advises OED senior leadership on internal data analysis support efforts and will also advise senior government and military officials on data science methodologies.
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Strong technical understanding of the following enterprise domains: Data Warehousing, Data Governance, Data Science and AI/Machine Learning. Becoming a trusted advisor to our clients by helping them understand the value of Cloud Pak for Data and why modernizing to a hybrid cloud model supports a long-term business strategy.
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Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc. 4+ years of related work experience in the field of Data Science & Machine learning.
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Masters degree (or its equivalent) in Data Analytics, Economics, Engineering, Computer Science, Management Information Systems, or Statistics (or other related field) with more than 3 years of relevant experience; or bachelors degree (or its equivalent) with >4-5 years of relevant experience.
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Zap Energy is looking for a Research Analyst to join the data science team. Extensive experience analyzing experimental physics data and developing algorithms for data extraction.
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BS in Computer Science, Computer Information Systems or equivalent experience. 1-2 years of experience extracting data from MS SQL server. Follow and update structured data collection procedures.
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Master's degree in Data/Information Management, Computer Science, Statistics or related area. Many of our campuses have received grant awards through the National Science Foundation to improve undergraduate STEM Education: Hispanic-Serving institutions program (HSI Program.
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Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structure) are applied to each problem to provide state-of-the-art techniques, tools, and approaches in project or school work.
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Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
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B.S. Degree in Management Information Systems, Computer Science, or a similar discipline is highly recommended. Integrate ERP systems and applications with software solutions to streamline business processes and data flow.
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For compelling opportunities, collaborate with product designers, content experts, data science colleagues, and DevOps specialists to design, develop, train, evaluate, deploy, monitor, and to maintain robust ML and NLP applications.
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