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The Senior Manager, Global Master Data, Scheduling & Cell Logistics team (SCLT) will be accountable for ensuring entry and accuracy of all Global Patient Operations (GPO) master data required for scheduling and monitoring of patient treatment schedules for Bristol Myers Squibb’s clinical and commercial Cell Therapies globally.
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We are looking for a Sr. Manager, Experimentation Science to drive all our in-app and signup experiences with hypothesis-based experimentation and data-driven decision making. 10+ years of experience within Data Science, Applied Science, Machine Learning, etc., ideally in the recommendations/personalization domain.
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We are:We provide innovative and comprehensive services and solutions that span cloud; systems integration and application management; security; intelligent platform services; infrastructure services; software engineering services; data and artificial intelligence; and global delivery through our Advanced Technology Centers.
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You can communicate results and proposed changes to partners/stakeholders across product, UX design, and technology areas (data, machine learning, data science, and analytics). M.S. or Ph. D. in an applied quantitative discipline (e.g. Statistics, Data Science, Economics, Applied Math/Physics) is preferred.
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This role will report to the VP, Data Platforms Product Management, and will work with and support multiple product delivery teams in the development and release of datasets and tools that enable analysis, activation, and governance of data for marketing, ad sales, consumer product development, personalization, experimentation, data science, and more.
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Amazon Advertising seeks a Finance Manager to collaborate with the product team in charge of driving growth of the Measurement, Ad Tech, and Data Science (MADS) program. - Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards.
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Develop analytical data sets in Azure which can be used for analytics, automation solutions, machine learning, artificial intelligence, and data science. data science, process automation and experimentation.
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Enrolled Agent - Professional Certification in Project Management (PMP) - Six Sigma Black Belt/Lean Black Belt/Master Black Belt - UX Certificate - Nielsen Norman Group - Agile Product Management - Alteryx Designer Advanced Certification - Chartered Financial Analyst - Masters - Business Administration, Economics, Finance, International Business, Tax, Computer Science, Information Science, Mathematics, Statistics, Science in Business Analytics (U.S. institution.
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We are seeking a Technical Project Manager to join our multidisciplinary Cell Science Management team to enhance efficiency and amplify the impact of our technical engineering and UX efforts in alignment with our Institute's priorities.
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In this role you will work closely with domain Tech Partners, Product Management, TPM, Data Science, Analytical users to deliver our vision and value for our customers. We are seeking a Data Engineering Manager who is passionate about data and to lead Transportation Analytics within the Nordstrom Analytic Platform and its technical evolution.
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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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REQUIREMENTS: Bachelor’s Degree in Business Administration, IT, Computer Science, Engineering, or related field or experience Minimum of four years of experience managing progressively more complex IT projects in applications, infrastructure and networking, and comprehensive understanding of the underlying technologies.
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A strong understanding of artificial intelligence, machine learning, predictive analytics, data science, and demonstrated success in product management of a product driven or enabled by artificial intelligence is crucial to your success.
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As a successful Program Manager, you will cultivate fluency with data with keen attention to detail while working closely with the Living Model technical team as they leverage sophisticated supply chain optimization and simulation software to test and either validate or refute the supply chain studies you help to surface and design.
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Education & ExperienceBS or BA or equivalent experience in Information Systems, Data Science, Computer Science, Engineering, or Business is preferred. Exposure to large-scale data engineering and analytics with intuition for business & data comprehension required.
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data science jobs Title: manager in Seattle, WA
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