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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP) Comfortable with command line (Linux, Windows) scripting Experience with at least one other programming language (Python, R, Julia, Scala, Go, Java, C.
$92,500 - $158,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) You thrive on bringing definition to big, undefined problems.
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Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
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Python, Spark/Pyspark, machine learning, big data processing, and advanced statistical analysis. We are seeking a highly skilled Data Scientist to join our team in Seattle. MS or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
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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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Strong knowledge of SQL, Python, data-structured languages, and big data. Bachelors degree in computer science, data science, finance or mathematics with a minimum of eight years of experience or a masters degree with a minimum of four years of experience.
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Position may be located anywhere in the U.S.Education required - Master’s in Computer Science, Statistics, Mathematics, Engineering, Industrial Engineering and Management, Technology, or closely-relatedExperience required - 5 years of experience in the job offered or as an Analyst, Data Scientist, or other closely-related position or occupationSpecial Requirements - 5 years of experience in a highly technical analytics environment, carrying out applied analytics and/or data science.
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Advanced SQL experience, preferable with Teradata systems, data mining, and Big Query analytics (Google Cloud). Senior Product Data Scientist for the Venmo Analytics team who is very strong at generating valuable insights from data through deep dive analysis, experienced at supporting new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance.
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Must possess at least a master’s degree or equivalent in Data Science, Financial Engineering, Mathematics, Statistics or a related quantitative field and at least 2 years of experience as a Data Scientist or in a related role.
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Experience with big data platforms (AWS, GCP, Azure, Databricks) and distributed computing frameworks. BS/MS in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, or other STEM disciplines.
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Multivariate statistics (parametric and non-parametric); statistical models and machine learning techniques; big data analysis using SQL; data aggregation techniques; trend analysis; bias reduction; representative sampling; data visualization; quantitative research and data modeling using Python; and working with Cloud computing technologies.
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Ph. D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Applied Mathematics, or related discipline. Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python and/or R, big data tools like Hadoop, or data visualization tools such as Tableau. As a Data Scientist, you will play a crucial role in our team by leveraging your expertise in statistics, machine learning, programming, and data modeling to derive valuable insights from complex and high-dimensional datasets.
$50 - $60 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advanced degree (MSc/PhD) in Computer Science, Economics, Engineering, Operations Research, Physics or Mathematics/Statistics preferred. You will be impacting every aspect of the business and it will require various techniques, from diving deep into data with SQL and Big Data tools, all the way to deploying modern machine learning models.
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