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About this role: Wells Fargo is seeking a Senior Quantitative Analytics Specialist (SQAS) to join its Decision Science and Artificial Intelligence (DSAI) group within Model Risk Management (MRM.
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The Corporate Planning & Management (CPM) Division unifies Finance & Planning, Spend Management, Operational Risk and Resilience, and CPM Engineering teams to deliver business planning and analytics, expense management, third party risk management, and governance strategies across the firm.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today’s biggest, most complex business challenges using the latest data and analytics technologies.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Familiarity with ecommerce analytic tools such as Google Analytics, Adobe Analytics as well as other ecommerce personalization tools such as Adobe Test and Target, Dynamic Yield, Sales Force Experience Cloud, etc.
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Strong understanding of instructional design principles and adult learning theory and cutting edge learning trendsKey Relationships:Collaborates with McKesson Technology and HR Shared Services to ensure correct alignment with other HR technology tools.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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Major Responsibilities:Global Risk Analytics Decisions (GRADs) Governance: 20%Lead the successful expansion and ongoing oversight of GRADs (formerly AMBRS) across all regions to ensure consistent governance and execution; provide guidance on the GRADs process to impacted stakeholders and ensure proper alignment to model risk management; ensure an audit-ready environment through accurate document retention and approval processes.
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Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
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Experience with data analytics platforms, business process technology, and basic coding skills such as PowerBI, Alteryx, Tableau, SQL, and robotic process automation. Enrolled in a degree or certificate program related to Accounting, Finance, Taxation, Economics, Information Technology, Data Analytics, or Related Field.
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Chief of Staff, Marketing Strategy and Analytics Overview: On the Xbox Marketing team, we aspire to extend the joy and community of gaming to everyone on the planet. Xbox Marketing is looking for a Chief of Staff, Marketing Strategy and Analytics.
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Please visit the below videos exhibiting at Oracle Cloud World / Oracle Java One (Las Vegas) - 2023/2022 and at Gartner Data Analytics Summit (Florida) - 2023. Required Skills for Data Science/Machine Learning Positions Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or IT.
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The QMHP main focus with helping adults is to assist them with learning functional and independent living skills, find community resources and provide support and/or linkage to support. in psychology, social work, medicine, nursing, rehabilitation, counseling, sociology, human growth and development, physician assistant, gerontology, special education, educational psychology, early childhood education, or early childhood intervention.
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You will explore a wide range of next-gen technologies : cloud native applications, machine learning (ML), AI, GenAI, Vision, and Imagery analytics. Cross functional collaboration with other machine learning engineers and data scientists to drive requirements and create new models Implement and maintain ongoing prediction pipelines using tools like kubernetes, Airflow, KFP, and Vertex AI. Ensure best practices in ML engineering, including code quality, testing, and documentation.
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learning analytics jobs Company: Dice in Irving, TX
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