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Designing enterprise data platforms on cloud (Azure/AWS/GCP) including services like ETL pipelines, Data Modeling, Visualization, Data Governance, RDM/MDM, etc. Grow into a Big Data professional or Technical Architect role over a period.
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Apache Hadoop or Apache Spark (for big data processing) Data Science & Machine Learning Frameworks. Data Governance & Security. Data Warehousing (e.g., AWS Redshift, Google BigQuery.
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PMO lead for onboarding and embedding an ESG Tool, including Carbon Accounting – data sources, aggregation, formatting; process framework and data input controls, change management to embed into ways of workingAssist to design and embed a cost model covering revenue, GP, overhead, fixed costs, and EBITDA to provide multiyear revenue and EBITDA projections to support Sustainability CAPEX/OPEX investments and realize Sustainability Strategy / timely regulatory compliance.
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Demonstrated competence in the areas of Master Data Management, Data Modeling, Data Quality, Data Governance. The US Data Management Office is responsible for establishing data as a strategic asset for CIBC US Region, further enhancing data governance, building out our data and analytic capabilities, and developing the US Region data management strategy.
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The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Manage and maintain vendor budgets for assigned clinical trials and process flows and data exchanges with global pharmacovigilance for clinical trial serious adverse events. Complete trial-specific Statement of Work (SoW) based on parameters supplied by Master Service Agreement (MSA) for Electronic Data Capture (EDC), electronic Patient Reported Outcomes (ePRO) and Interactive.
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Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK, and Databricks/Spark.
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We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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This position will coordinate institutional research and analysis, survey research, university assessment and evaluation, institutional compliance reporting, data governance and other projects to ensure operations and future strategic and budgetary plans align with sound analytical data and continuous improvement, furthering the mission of LUC.
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Proficiency with data warehouses (e.g., Snowflake, SQL Server, Redshift, Big Query, etc.) Data Governance and Security : Implement stringent data governance frameworks, ensuring data integrity, compliance with global data protection regulations, and securing sensitive information across all platforms.
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Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. Data Evangelist: Promote data product adoption through training and webinars.
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Our core disciplines include strategic consulting, creative design, content development, experience design, shopper marketing, data science, performance marketing, PR, CRM and Analytics.
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Experience and understanding of various governance frameworks and standards such as COBIT, ISO, NIST, COSO, CFTC Regulations. Experience with data analysis tools (e.g., Tableau, QlikView, ACL, Business Objects.
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big data governance science jobs Company: Bigcommerce Pty Ltd in Chicago, IL
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