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Responsibilities:Enterprise Data Engineering Delivery:Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
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Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure. Strategic Leadership in Data Engineering: Contribute to development of comprehensive enterprise data strategy that aligns with McKesson's business objectives, emphasizing the strategic use of data as a key asset in driving business outcomes.
$248,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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THE ROLE:As a key member in the Advanced Data Analytics team, the Data Analyst will work with this and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh Corporation products.
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Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities. 10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science.
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Develop and maintain a global strategy for Data Historian (PI) implementation, including Data Model based on ISA95 with Asset and Event Framework, and corresponding Master Data management specific to pharmaceutical manufacturing processes.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy.
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2-3 years of experience in defining enterprise data strategy in the areas such as AI, data management, data governance, data supply chain, data security, data archival, data quality, master data management, data architecture, automation and/or cloud data migration for medium to large scale corporations.
$154,800 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The Digital Risk Products & Data Strategy (RPDS) team within CFR is the backbone of all risk decisions and help in building the digital products for risk management across customer lifecycle i.e., Onboarding, Credit Underwriting, Authorizations, Collections across card & non card business globally.
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The Global Payments Solutions Data & AI Strategy and Management team (DSM) is looking for a Data Steward Executive (DSE) for the Global Transactions Services, part of the GPS team which is a ~$15bn business.
$254,700 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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This role is W ONLY (NO CC per client requirements)MUST HAVE:-+ years of experience as a Business/Data Analyst working in Data Warehouse, Master Data Management-Strong SQL -Tableau OR Power BI-Data Governance -Knowledge of Government/Public Sector/Education organizations, hierarchies and structure is a BIG PLUS Responsibilities :The firm has an exciting career opportunities for a Data Analyst within the Data Strategy and Enablement group.
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big data science management strategy jobs Title: principal product manager
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