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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.
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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 algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
ExpandApply NowActive JobUpdated 18 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) 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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Extensive hands-on programming skills in Python with knowledge of SQL, Hadoop/Hive, Spark, and/or Scala a plus. As a Sr Data Scientist, you’ll join a Data Science team responsible for building and enhancing Target’s digital testing capabilities.
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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. You’ll be working closely with other software and machine learning engineers to develop the Search product.
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Proficient in using Jupyter Notebooks for all sorts of data science tasks such as exploratory data analysis (EDA), data cleaning and transformation, data visualization, statistical modeling, machine learning, and deep learning.
$96,800 - $251,600 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years of hands-on experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., and hands-on experience with Python programming and statistical packages, and ML libraries such as scikit-learn, Keras, TensorFlow, PyTorch, MXNet, etc.
$96,800 - $251,600 a yearFull-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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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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This role will challenge you to utilize cutting-edge machine learning techniques in the domain of predictive modeling, natural language processing (NLP), deep learning, reinforcement learning, query understanding, vector search (kNN) and image recognition to deliver significant impact for the business.
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Business Card & Payments Data Science team builds industry leading machine learning models to empower credit underwriting decisionings, supports advancement in Capital One business card product strategies, decisioning and credit infrastructures.
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Analyzing healthcare enterprise data to drive better products and solutions, building sophisticated and interpretable machine learning and other types of models through synthesizing and analyzing multiple data sources, such as Electronic Health Records, HR data and survey data.
$110,000 - $150,000 a yearFull-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
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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.
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3+ years of hands-on experience in Data Science and Machine Learning. We are looking for a Senior Data Scientist who is well versed across traditional Machine Learning (ML), Deep Learning (DL), NLP, OCR, and has experience leveraging Large Language Models (LLM) to drive powerful insights and actionable recommendations that empower our customers and users.
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E, AWS and GCP)Strong verbal and written communication skillsAbility to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical usersExperience with machine learning platform for search & discovery related rankings is a strong plusPay & Benefits.
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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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