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As one of the most senior Machine Learning Scientists in the team, you will be hands-on in building blue-sky prototypes of data products to pursue opportunities for growth, search, and product merchandising.
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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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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.
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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.
Full-timeExpandUpdated 22 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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) 2+ 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.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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4+ years of industry work experience in Machine Learning applied in one or more of the related fields: Ranking, Search Engine, and Recommendation systems. Solid hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing and modeling of complex data sets to identify the essence of problems.
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Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.
InternExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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E, AWS and GCP) Strong verbal and written communication skills Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users Experience with machine learning platform for search & discovery related rankings is a strong plus Pay & Benefits Our compensation reflects the cost of labor across several US geographic markets.
Starting at $142,000 a yearExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Apply data mining, data modeling, natural language processing and machine learning to extract and analyze information from large structured and unstructured datasets. The Data Scientist will support several diverse and critical functions, including the operation of a research and development lab on-site in downtown Tampa, FL. The client responds to the Department of Defense and Intelligence Community’s toughest problems by providing prototypes and methodologies for execution.
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Extensive hands-on experience with NoSQL (e.g. Mongo, Cassandra), Kafka, search engines (e.g. Solr, Elastic), cache (e.g. Redis, Memcached), and other data sources. Come join the Applied Machine Learning (AML) team to do your best work on exciting and groundbreaking projects that will surprise and delight our users.
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Our Data Science program is one of the fastest growing field in CIT. The ability to teach hands on graduate courses in general areas of Data Science such as Artificial Intelligence, Deep Learning, Distributed & Scalable Data Engineering, Machine Learning, and Natural language Processing.
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Hands on experience architecting and delivering solutions using the Azure Data Analytics platform and solutions including but not limited to Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search, and SnowflakeExperience designing and implementing machine learning solutions as part of high-volume data ingestion and transformation pipelines.
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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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Hands-on experience with search engine technologies (e.g., Apache Solr, ElasticSearch, Vespa, FAST, or Lucene) or a demonstrated interest in learning. The Artificial Intelligence group is the central engineering group responsible for driving Machine Learning (ML) adoption at Bloomberg, with over 200 researchers and engineers working together to provide clients with the best-in-class news, research, market data, and analytics using innovative machine learning technology.
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