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Data science (Experience): Sagemaker, Athena, Glue, DynamoDB, Databricks, MWAA (Airflow), We are seeking a talented AWS DevOps/MLOps Architect to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Experienced with languages used to manipulate data and draw insights from large data sets (e.g., Python, R, SQL, etc.) Qualifications Master’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field.
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Cross-functional Collaboration - Interface with Product, Engineering, Data Science, Analytics/BI, and Operations to understand their data needs, providing both consultative and data engineering solutions for consumers.
$55 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Excellent communication skills to collaborate with stakeholders in Engineering, Product, Data Science, Analytics/BI, and Operations. The team collaborates closely with other departments within the organization such as Data Science and the Analytics team.
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With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. As a Data Scientist at Capital One's Auto Finance business, you’ll be part of a high performing modeling and analytics team that’s leading the next wave of disruption at a whole new scale.
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Added Bonus If You HaveBachelor’s degree in Information Systems, Computer Science, related discipline or equivalent work experienceExperience using Jira & ConfluenceExperience working with Adobe Analytics, Google Analytics or other web analytics data.
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Experience implementing monitoring, quality assurance, data validation processes in a relational and big data environment (metrics-driven reliability and performance) BS or MS degree in a quantitative field such as computer science, physics, math, engineering, or economics.
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Advanced degree or equivalent experience in Statistics, Biostatistics, Econometrics, Economics, Epidemiology, Actuarial Science, or Data Science highly preferred. + Partner with other Data Science teams to support the Common Currency initiatives (Methodology, Governance, coordination of work and roadmaps across Data Science Verticals.
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B. Job Responsibilities How you will be contributing: Work closely with other experts in Data Science, Optimization, Energy Systems, and Business to realize future service concepts of EVs. Develop and implement a cloud architecture for intelligent charging control of EVs. Perform evaluation of prototype, using EVs or real world big data of EVs. Communicate your work with stakeholders for business implementation.
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Opportunities are offered in a variety of disciplines including Application Development, Cybersecurity, Data Science and Business Analytics, Information Protection, Network Design, Product Management, Project Management, Systems Analysis, Systems Architecture, Systems Integration, and User Experience Design.
$70,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Science Strategy Consultant. Expertise in leading large AI&ML programs/initiatives, advanced data analytics engagements including model development. Experience communicating with data to drive change; ability to find commonalities in GenAI initiatives across organization, identify opportunities to optimize and innovate across the organization, ability to build a common strategy.
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If your background is in Cybersecurity, Computer Science and Engineering, Digital Forensics, Management Information Systems, or Security Information Systems, learn more about CRA! (Boston, Chicago, New York) Our team assists companies and their counsel in data preservation, collection, analysis, reporting, and delivery from cloud-based and other repositories.
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Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or other quantitative discipline.
$141,830 a yearFull-timeExpandApply NowActive JobUpdated Today
data science jobs in Plano, Hauula, Hawaii
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