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Graduate degrees in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering are preferred. 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 have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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MS or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field. Python, Spark/Pyspark, machine learning, big data processing, and advanced statistical analysis.
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Requirements: Master’s degree (or foreign equivalent) in Data Science/Engineering, Analytics, Mathematics, Operations Research, Industrial Engineering, or a related field and one (1) year of experience in the job offered or related occupation.
$108,306 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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BS/MS in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, or other STEM disciplines) Experience with big data platforms (AWS, GCP, Azure, Databricks) and distributed computing frameworks.
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Master’s or Bachelor’s degree (U.S. or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and two (2) years of experience (with Master’s) or five (5) years of post-baccalaureate, progressively responsible experience (with Bachelor’s) in job offered or quantitative research role.
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Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) GCP/Hadoop and big data experience – an advantage.
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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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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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