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Starting from the top of the funnel, Data Scientists build account rank models to score tens of millions of companies and also recommend companies that aren't yet in their CRM. Our Data Scientists apply cutting-edge natural language processing algorithms and deep learning models to predict whether a company is interested in our clients' products even before they visit their site.
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5+ years of experience with deep expertise in the tools and practice of data science, including statistical modelling, machine learning and artificial intelligence, with a proven track record of delivering impactful business solutions.
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5+ years working with machine learning algorithms, deep learning frameworks, and common data science libraries. inPowered s AI platform enables brands to maximize their content marketing ROI. Powered by Artificial Intelligence and years of machine learning, their Content Intelligence and Content Distribution solutions allow marketers to collect proprietary data and use it to drive real ROI positively changing brand perception, increasing action taken onsite, lead generation and user engagement.
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To achieve this, we’re working on projects that utilize the latest techniques in Artificial Intelligence, Machine Learning (including Deep Learning approaches like Google Brain) and Natural Language Understanding.
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The Principal Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation.
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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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Familiar with current and emerging techniques in analytics (machine learning, deep learning, AI) The Data Science Advisor position will report to the Senior Manager, CRM and Analytics.
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Our team leverages advanced Data Science (DS), augmented intelligence (AI) and machine learning (ML) to help better predict our customers’ health outcomes, advance affordability, quality and accessibility of healthcare.
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Job Description Summary: PayPal is seeking a talented Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces including Venmo and PayPal. Your goal will be to optimize the customer journey through personalized, thrilling experiences.
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You have been a data scientist yourself and understand how to drive quality and data science excellence. You are a seasoned science manager with a proven track record of delivering high-impact ML/Deep Learning solutions.
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3+ years experience in advanced analytics, statistics, or data science role preferred. + Strong programming experience with R and/or Python for statistical modeling and other machine learning applications.
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Helps to develop new and install and adapt existing data science and machine learning tools for research workflows and analytical pipelines for data being created in molecular and cellular biology and genomics, as well as engineer new toolsets that include AI models and Deep Learning algorithms developed in-house.
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We are seeking a Data Scientist who has a solid background in applied Machine Learning and Data Science, deep passion for building data-driven products, ability to formulate data insights and scientific vision, and has a proven track record of executing complex projects and delivering business impact.
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Experience in predictive modeling, data science, or machine learning. BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.
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Proven experience in applying Data Science methodologies to extract, process, and transform data from multiple sources. Stay abreast and evaluate the latest in AI research and technologies and determine how to incorporate these into our data science best practices.
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