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Extensive experience with, both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. + Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques.
$342,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. 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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You will work with the most complicated data environment, employ the right architecture to handle big data and support various analytics use cases, including business reporting, production data pipeline, machine learning, optimization models, statistical models, simulation, etc.
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Build automated, scalable, repeatable, and integrated analyses using modern big data architectures within data ecosystems such as Databricks, Snowflake, and Google BigQuery.
$200,200 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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You will work with the most complicated data environment, employ right architecture to handle big data and support various analytics use cases, including business reporting, production data pipeline, machine learning, optimization models, statistical models, simulation, etc.
$205,600 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization. San Francisco, California (Hybrid On-site): $213,400 - $243,500 for Manager, Data Science.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Mgr, Data Science. New York City, New York (Hybrid On-Site): $201,400 - $229,900 for Manager, Data Science.
Part-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Extensive expertise and experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $201,400 - $229,900 for Mgr, Data Science. PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics.
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Manager, Data Science - Emerging ML. You thrive on bringing definition to big, undefined problems. At least 4 years’ experience in Python, Scala, or R for large scale data analysis.
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Write software (Python, Scala, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) At least 2 year of experience in open source programming languages for large scale data analysis.
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Building customer behavioral models (using transaction, clickstream, and other data) that identify trends, patterns, and relationships related to product usage. Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date.
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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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Experience with big data technologies (Hadoop/Vertica) is a plus. Experience combining user research and data science methodologies across multiple products and teams. Build, validate, test, and deploy machine learning or other data science models to predict and influence the behavior of consumers with the goal of optimizing products & processes.
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Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology.
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modern big jobs Title: data science
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