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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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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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Experience with "big data" and cloud computing technologies like Redshift, Hadoop, Hive, BigQuery. We're looking for an outstanding technical leader in economics and data science who specializes in statistical modeling, causal inference, and/or structural analysis to advance data-centric decision-making at Duolingo.
$169,700 - $314,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP) Graduate degrees in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering are preferred.
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Experience with big data platforms (AWS, GCP, Azure, Databricks) and distributed computing frameworks. As a Senior Data Scientist, you will work collaboratively with our business, operations, analytics, and IT teams.
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Opportunity to gain leading edge big data artificial intelligence experience with an exciting fintech firm and apply it consulting with some of the worlds largest private equity firms to assist them with their investment processes.
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Requires one (1) year of experience in each of the following: analyzing large data sets from multiple data sources for health care industry; Python; machine learning, statistical analysis, predictive modeling; SQL programming languages; “big data” platforms including Hadoop (Azure, GCP, or AWS); designing data models and solutions for analytical and reporting use cases.
$108,306 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce and/or OTA. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
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This Senior Data Scientist, Machine Learning Engineer will leverage cloud computing technologies to develop, deploy, and manage predictive models that support decision-making processes across the Terumo organization.
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Proficiency in Python, R, and SQL as well as data visualization and dashboarding tools (e.g. Tableau, Looker, QlikView) and Big Data technologies such as Apache Spark and cloud computing platforms.
$150 - $350 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with big data tools (e.g., Spark, Databricks) Part of a rapidly growing team, you will apply data science methods and analytics to real business situations across retail fuel pricing.
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Experience with mainstream big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.) Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc.
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The Data Scientist Senior will oversee the development and implementation of predictive modeling algorithms and techniques to solve more complex business problems and optimize member experiences.
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The Associate Commercial Data Scientist will be expected to interpret and tune machine learning algorithms, work in big data environments, apply statistical methods to develop robust solutions to client problems, have strong communication skills to communicate project findings to both internal and external stakeholders, and participate in client meetings.
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data science scientist big jobs in Manhattan, NY
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