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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Lead and work with data scientists/engineers and platform engineers to develop search related features using advanced machine learning techniques. Deep understanding of ecommerce ClickStream data including query, catalog data, and customer satisfaction dataSolid knowledge of machine learning and deep learning conceptsExperience working with large data sets in big data environmentsProficiency in Python/Spark, TensorFlow, SQL, Java, Kubeflow, Jupyter, GCP etc.
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We are looking for someone who has:5+ years of hands-on experience building ML/AI systems for search advanced information retrieval, ranking, or recommender systemExpertise in machine learning tools and packages like Scikit-learn, SciPy, Tensorflow, Keras, etc.
Full-timeRemoteExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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Deploy, test, validate, and maintain machine learning models in production by collaborating with data engineers and machine learning engineers. Solid knowledge of statistical methods and machine learning fundamentals.
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End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Associate Director, Data Science - Responsibilities:Actively engage in hands-on development of internal models and processes, including machine learning models, numerical optimization, statistical significance testing, ML-as-a-service API development, and streaming event data processing.
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