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The Enterprise Data Transformation and AI/ML will be responsible for providing strategic leadership and direction in the development, implementation, and optimization of Enterprise Data Strategy and Artificial intelligence (AI), machine learning (ML), and automation initiatives within the organization.
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Experience with computer vision (CNN, Transformer architectures) and image/video data preparation for machine learning. Experience with anomaly detection and synthetic data strategies for machine learning.
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Developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, or SAS. Title : Sr. Data Scientist – Lead - Tableau / Data Analytics / Business Analyst (IT): IV (Lead.
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You'll code with machine learning tools like Python, R, and Scala to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
$119,900 - $321,390 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.
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Work experience with Excel PivotTable, presentation PPT and data wrangling & visualization tools (e.g. Tableau, Alteryx, SQL server)Coursework in multivariate statistics, multiple regression, programming languages (Python, SQL, Spark), machine learning (NLP, LLM), data analytics & visualization.
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As a senior leader reporting into Chief Transformation Officer, this role will play a crucial role in driving the development and implementation of Enterprise Data Strategy, Responsible AI and machine learning strategies within the organization.
$210,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ph. D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics, related field; or equivalent experience. The Data and Machine Learning Innovation (DMLI) team is looking for a passionate Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges.
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Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale. Employ Machine Learning and Artificial Intelligence to create best-in-class Fraud, Risk, and KYC products.
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Experience in working with Machine learning and AI concepts related to RAG architecture, LLMSs, embedding and data insertion into a Vector data store. Our esteemed client is looking to hire Sr. AWS Cloud Data Engineer for a (Long Term Contract) opportunity.
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The Data Scientist responsibilities include conducting all the steps of the data mining lifecycle with an emphasis on applying their expertise in math, statistics and building machine learning models.
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Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling.
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Whether you join our Statistics, Optimization or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
$93,800 - $168,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.
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The Data Science and ML team member develop innovative data science models and machine learning algorithms to drive digital product experience and sales growth for SGWS. This role will be focused on developing and deploying personalization and recommendation, search, experimentation, and marketing AI solutions.
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