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Advance Analytics: Python, R Studio, Data R obot , DataBricks MLflow , AWS Sagemaker, Azure Machine Learning Studio. Big Data: Azure Stream Analytics, Azure HDInsight, Amazon E lastic Map Reduce (EMR) , AWS Athena, Apache Spark, Hadoop, Hive.
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We are looking for a Senior Machine Learning Engineer to join the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications.
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O Advanced knowledge of digital transformation principles and concepts, including agile, scrum, and user experience design as well as data analytics tools such as Python, R, ACL, Power BI etc.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Mathematical foundations for AI, such as linear algebra, calculus, and statistics, plus algorithms specific to machine learning and data processing. Strong grasp of AI principles, including machine learning, deep learning, natural language processing, and computer vision, along with their applications.
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Prior experience supporting Data Governance initiatives desired: Data Quality, Metadata Management (Data Cataloging, Data Lineage), Master Data Management, Data Security.
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Analyze large-scale proteomics and other "omics" data to answer research questions, including data visualization, statistical analysis, machine learning, and data mining.
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Strong experience in data research using SQL/SAS/R/Python for data analysis. Write SAS/SQL/VBA/Python code to extract data to perform data analysis and research for data integrity.
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ETL/Data integration/Streaming – Talend, DataBricks, Python, Spark, Kafka, Informatica. Cloud Lake and Warehouse – Snowflake, S3 Data Lake, other comparable technologies. Drive architecture in one or more areas of data storage (Data Lakes and Warehouses), data integration, Business Intelligence and analytics.
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Desirable skills and techniques include 2D and 3D cell culture and bioassays, immunostaining, flow cytometry analysis, and data analytics such as machine learning. Preference will be given to candidates with experience in pluripotent stem cell culture, 3D cell culture (e.g. spheroids or organoids), matrices, and/or biomaterials (e.g. hydrogels.
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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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Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
$122,500 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Whether you join our Statistics, Optimization or Advanced Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization and Personalization rely on.
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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Performs manual and machine operator tasks related to the set-up, maintenance, and operation of the die cutter. Machine Operator (Die Cutter) Job Overview: The Machine Operator will operate all aspects of a die cuttings machine.
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