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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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Big data doesnt faze you. Business Card & Payments Data Science team builds industry leading machine learning models to empower credit underwriting decisionings, supports advancement in Capital One business card product strategies, decisioning and credit infrastructures.
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The Data Science Analyst will manage, architect and analyze big data in order to build data driven insights and high impact data models. The Data Science Analyst supports the development and maintenance of business intelligence solutions and analytics products.
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Object-oriented coding experience and shell scriptingInfrastructure knowledge:Linux systemsVirtualizationDockerKubernetesCloud (AWS/Azure/GCP)Experience in building solutions with Big Data tools and frameworks, some of:SQL DBsSpark, Hadoop, Cassandra, Redis, Mongo, Elastic.
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Through this research experience, the fellow will have the opportunity to explore earth science community standards for the intake and publication of gridded data sets; contribute to the conversion of data holdings to cloud-optimized formats; and develop documentation of best practices for the handling of big datasets.
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They also use and advise on such tools as machine learning, natural language processing, web scraping, big data platforms, and data visualization techniques and their application to relevant public policy issues.
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Proficiency in programming languages like Python , SQL, and working with big data tools like Spark and Hadoop. This senior leader would be the founding member of a Customer Data Science (CDS) team to take on these challenges – requiring this leader to develop and execute a team charter and roadmap , resulting in new customer and operational KPI reporting , predictive intelligence (e.g. , at - risk customers , customer maturity, etc.
$345,700 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Learning Objectives: The objectives are to help the NCASC manage big data and to develop data processing workflows in support of actionable, open, and replicable science. Through this experience, the participant will have the opportunity to: develop innovative solutions to big data challenges; apply recent advances in cloud computing environments and open metadata standards; expand their technical skill set for conducting research; and receive mentoring from data scientists and engineers through a collaboration between the CASC network and USGS Water Resources Mission Area.
$86,962 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Big data” doesn’t faze you and you love data-centric methods. San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr Mgr, Data Science. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr Mgr, Data Science.
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Expertise in programming languages such as Python, R, and SQL, and experience with big data technologies like Databricks and Spark. Advanced degree (Master's or Ph. D.) in Data Science, Statistics, Mathematics, Computer Science, or a related field.
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Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization. Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms.
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They offer deep technical knowledge in areas like machine learning, statistical modeling, data analysis, and big data processing. They provide expertise on data science methodologies, algorithms, tools and best practices, and support proposal development and capture efforts.
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Direct the activities of a data science team responsible for the design, development, programming methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for businesses across the company.
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Innovation is at the heart of everything we do at the Audit Analytics and Innovation Team. We’re not a traditional Data Science team: we build creative ML solutions across multiple domains from LLM based chatbots, GenAI powered applications, to AML/Fraud solutions, Card statements anomaly detection, Customer call transcripts intelligence, etc.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Senior Associate Data Scientist, Audit Data Science.
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big job Title: data science in Mclean, VA
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