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Bachelor's degree in Statistics, Computer Science, Mathematics, Operations Research, Industrial Engineering, Quantitative Analysis, Economics or a related field, plus four (4) years of experience in data engineering, development, and/or a combination of education and experience.
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2-3 years' data engineering or data science experience (preferably in Python, and/or PySpark/Scala) Knowledge of Big Data Systems (BigQuery, Snowflake, AWS Athena / S3.
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4+ years of experience in data architecture, data management, data engineering, data science or data analytics. Master's degree in Computer Science, Information Systems, Data Science, Financial Engineering, or a related field.
$118,718 - $197,863 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Lead the design, development, and deployment of ML model pipelines, in collaboration with Data Science and Data Engineering teams. In this critical role, you will collaborate closely with Data Science, Data Engineering, Product, and Marketing teams to lead the design, implementation, and operations of end-to-end ML solutions at scale.
$176,800 - $265,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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QualificationsRequired Bachelor's degree preferably in Engineering, Data Science (Mathematics, Statistics or Economics) Engineering, Data science or another quantitative field (i.e. mathematics, statistics, economics, etc.
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process.
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PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics. 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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Your Impact Regional and national opportunities to develop and apply state-of-the-art Travel Demand ModelsWork in a supportive team environment with a group of diverse, talented peersOpportunities to write programs, work with Big Data and create solutions to help transform cities and communities Who You AreRequired Qualifications Bachelor’s Degree in Civil Engineering, Data Science, Transportation Planning or related field.
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Ability to break down a project into specific tasks involving business analysis, data science, and engineering. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Fluent with data types and formats, data access and delivery modes, data and metadata management, web and cloud-based integration technologies, big data solutions, IT infrastructure deployment models, and enterprise-class architectural topics like performance, scalability, security and governance.
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The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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The Data Science Solutions Consultant will design and develop analytic models, ETL (extract transform load) and MAD (model analytics dataset), and supporting tools, which enable Data Scientists to create algorithms/models in a big data ecosystem.
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The Opportunity Abbott's Data Science & Engineering organization accelerates data-driven solutions and creates business value across the organization related to Artificial Intelligence (AI), Digital Analytics, and Big Data. We use state-of-the-art technologies, build cutting-edge algorithms that solve complex health challenges, and develop reliable, cost-effective tools.
$125,300 - $250,700 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Familiarity with data science tools like pytorch, tensorflow, scikitlearn and pandas would be a big plus. The ideal candidate would have a strong quantitative background (graduate degree in computer science, math, physics, engineering, stat) and has excellent programming skill with Python.
$20 - $43 an hourPart-timeExpandApply NowActive JobUpdated 2 days ago
big data science engineering jobs in Chicago, IL
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