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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. At least 2 years’ experience in open source programming languages for large scale data analysis.
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Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Job Description Enlighten is looking for a Senior Systems Engineer (Sr. SE) that can lead the overall DevSecOps process for a mission-critical big data system. Proficiency with linux operating systems and open source software such as PostgreSQL, Nginx, Hadoop, Kubernetes.
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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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At least 3 years' experience in open source programming languages for large scale data analysis. 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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This encompasses performing internal searches of client systems, open source media searches, negative news checks, transactional reviews, completion of AML Disposition template and where necessary drafting of SAR Narrative.
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New York City (Hybrid On-Site): $234,700 - $267,900 for Sr Mgr, Data Science. PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics.
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The Card Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters. Manager, Data Science - Card Fraud Detection.
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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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At least 1 year of experience in open source programming languages for large scale data analysis. The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, AirHow, Palantir Foundry, Data Quality tools, Collibra, MOM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BL technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
$200,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You know understanding the data is often the key to great data science. You’re comfortable with open-source languages and are passionate about developing further. “Big data” doesn’t faze you.
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Experience working with big data or on large volume document review strongly preferred. Robert Half is currently seeking candidates with a Bachelor's Degree in a legal related discipline (criminal justice, political science, sociology, paralegal studies, etc.
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At least 4 years’ experience in Python, Scala, or R for large scale data analysis. Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Mgr, Data ScienceCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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