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Hands-on experience with Python, PySpark, SQL, and other functional programming languages necessary to develop and ship models built on big data. Take ownership of and demonstrate genuine commitment to fostering the professional growth and development of two individual contributor Data Scientist reports.
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The ideal candidate is adept at using big data sets and applying machine learning and artificial intelligence techniques for analysis and prediction tools focused on environmental and meteorological applications.
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Database development and use for machine learning and big data applications. Solid understanding of machine learning algorithms, data structures, and statistical models.
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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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In Emerging ML, you will work at all phases of the data science lifecycle, including:Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.
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O CompTIA Data+, Power BI Data Analyst, SAS Certified Data Scientist, Certified Analytics Professional, or other relevant professional designation or advanced degree. o Advanced knowledge of information security and systems, application controls and emerging technology utilization including but not limited to artificial intelligence, machine learning, deep learning, advanced process automation, cloud and application program interfaces.
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The Compliance Risk Management Analytics and Innovation team builds the machine learning models that contribute to the organization’s regulatory compliance and risk management program. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
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Oracle Senior Principal Speech Scientist Lincoln , Nebraska Apply Now Invent, implement and deploy state-of-the-art machine learning models, algorithms and systems as part of the OCI Speech team.
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Adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute.
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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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Senior Manager, Data Scientist - Business Card & Payments page is loaded Senior Manager, Data Scientist - Business Card & Payments Apply locations McLean, VA Richmond, VA Chicago, IL New York, NY time type Full time posted on Posted 2 Days Ago job requisition id R182822 Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Data Scientist - Business Card & Payments Senior Manager, Data Science - Business Card & Payments.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. GliaCell is seeking a Cryptanalytic Computer Scientist on one of our subcontracts.
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The Card Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters. At least 4 years’ experience with custom code-driven machine learning projects using packages such as XGBoost, pySpark, H2O.
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6 to 8 years of relevant experience, and 5 + years of experience in data science, machine learning, quality assurance and data management roles. + Experience with big data technologies (e.g., Hadoop, Spark, Hive) and data visualization tools (e.g., Tableau, Power BI) is a plus.
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