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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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The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
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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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At least 4 years’ experience with custom code-driven machine learning projects using packages such as scikit-learn, H2O, xgboost, PyTorch, JAX, etc. You’re experienced with open source languages and how they’re used in artificial intelligence and machine learning.
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At least 2 years’ experience with machine learning. Develop or curate training for software development best practices for data scientist mastery on tools used on model build and execution platforms.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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At least 1 year of experience with machine learning. At least 3 years’ experience with machine learning. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
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Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it s a big part of our heritage.
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Database development and use for machine learning and big data applications. SimVentions is a 100% employee-owned business and has consistently been voted one of Virginia's Best Places to Work. We are actively seeking a highly skilled and motivated Software Engineer with interest in Artificial Intelligence (AI) and Machine Learning (ML) to join our innovative development team.
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Stay abreast of emerging technologies in big data, machine learning, and agriculture tech and advocate for their adoption where beneficial. 7-8 Years of strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization.
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Strong knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow), and big data processing technologies (e.g., Spark). Develop predictive models and machine learning algorithms to optimize digital marketing campaigns and customer targeting strategies.
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11 West 19th Street (22008), United States of America, New York, New YorkSenior Associate Data Scientist, Transaction Intelligence. Senior Associate Data Scientist, Transaction Intelligence.
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R, Python, Machine Learning, Development, CI/CD, Data Science, Data Analysis, Modeling. R, Python, Machine Learning. Partner with R&D scientists to develop and prototype rigorous machine learning solutions aligned to project needs.
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Process and analyze big data datasets, usage funnels, long term trends using Statistical, Machine Learning modeling, and Hypothesis driven approach to identify opportunities, patterns, pain points in end user's journey and provide recommendations to the leadership teams to help in driving customer satisfaction, acquisition, engagement, and retention.
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PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning. The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of cutting-edge algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities.
$136,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
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