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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. As a Data Scientist at Capital One's Auto Finance business, you’ll be part of a high performing modeling and analytics team that’s leading the next wave of disruption at a whole new scale.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics. Plano 7 (31067), United States of America, Plano, TexasSenior Manager, Data Science - AI Systems.
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Master's degree or higher in Computer Science, Mathematics, Statistics, Data Science, Economics. The Data Science team works closely with different Operations, Technology and Business Partners in designing and implementing predictive models and analytical tools using latest machine learning techniques.
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Ph. D in Neuroscience, Psychology, Computer Science, Engineering, or Linguistics. The Research Associate will be primarily responsible for planning, conducting, and directing a wide variety of experiments, for evaluating and interpreting research data, all with a significant writing responsibility, including research protocols, IRB applications, grant proposals, and manuscripts.
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At least 3 year of product management experience or at least 3 year of experience in product design, agile delivery, business analysis, data science, or software engineering. Our product managers partner with cross functional teams of product, tech, design and data to define, design and build technology solutions that engage and serve thousands of associates daily.
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Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.
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Working on multiple projects involving machine learning projects, this person will support multiple teams with their data engineering needs including building data pipelines within AWS. Bachelor's degree or associate in applied science specific to Computer Science or minimum of 5 years of related work experience; or an equivalent combination of education and work experience.
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You will be part of the data science function for Marcus that caters to end to end Customer life cycle. You will be part of the data science function for Marcus cards business and the Marcus App that caters to end to end customer life cycle.
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7+ years of experience in a highly analytical role, with at least 5+ years in a product analytics/data science role, preferably in a Product Led Growth organization with a focus on growth OR master or Ph. D. degree with 3+ years of demonstrated experience in a product led growth organization with a focus on growth optimization.
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With capabilities spanning technology, data science, supply chain management, fulfillment, customer service, and more, we help brands launch, scale and grow-across product categories and geographically.
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Master's degree or Ph. D. in a relevant field (e.g., Computer Science, Statistics, Data Science). Master's degree or Ph. D. in a relevant field (Statistics or Data Science.
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Skills / Experience You Will Need: Bachelor's degree in Computer Science or related field, or equivalent education and related training Two or more years in a Technical Business Analysis role; most recently in Property & Casualty Insurance Domain Two or more years within a Technical field - i.e. Software Engineering, Infrastructure Engineering, etc.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Blockchain and Artificial Intelligence to Data Science models, Digital Underwriting, mobile-first applications and more.
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Understand basic data science concepts and common needs from data scientists. Experience in cloud based development and production environments - AWS, GCP and On-prem clusters. Understand basic data science concepts and common needs from data scientists.
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data science jobs in Garland, TX
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