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Function as the MSA and Fintech conduit with VCA North America (Segment Leaders, Practices, Solutions, and Data Science) and teams outside of VCA (Account Executives, Product Teams) to drive integration across the solution lifecycle (planning, requirements, design, testing, commercialization, and rollout.
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Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcomes. Perform sophisticated card fraud analyses and strategy support using advanced analytics & data science tools to provide actionable insights and real-time changes to card fraud detection tools that improve business outcomes and minimize fraud risk.
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Degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field. Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely.
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Work with tools including Java Script, HTML/CSS, JSON, XML, Bootstrap, AngularJS, Jelly, REST webservice frameworks, API webservice frameworks, active directory federated services, SAML, oAuth, Public/Private key encryption framework, and Azure application and data hosting.
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Building and managing data pipelines using AWS services such as Glue, Lambda, S3, Redshift, and Athena. GovCIO is currently hiring for a Data Scientist with a strong Data Engineering background to design, develop, and maintain our data infrastructure on AWS, and to create descriptive and predictive models that impact productivity, decision-making, and provide strategic mission impact.
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In this role, the Senior Credit Risk Analyst will work with the credit, marketing, decision science and operations teams. We have revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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This position manages the auditing of IT general computer controls (GCC) regarding: networks, operating systems, databases, computer operations, data security administration, and data center physical security to evaluate their effectiveness, identify risks, and recommend corrective action.
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Envision and build scalable architecture for our analytics stack, one that allows rapid iteration and deployment of data science solutions as well as elegant access for our customers. Help distill the core interactions a customer of Reserv will need in order to be successful in using our product, from our data science models, our data dashboards, to our core operational software.
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We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You will have a chance to own the key metrics, develop data pipelines, ETL. You will also make direct impact to our key success metrics via building machine learning solutions, risk detection rule development and deployment.
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Educational Level: A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and Five (5) years of progressive, responsible experience in the field of data processing, computer systems, and applications.
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If you are ready to learn, collaborate, solution, and operate a born-in-the-cloud architecture to deliver the data and reporting foundation for an $8 billion revenue company, then we want you.
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Architect, design and develop core data platform components with a microservices architecture, abstracting platform, and infrastructure intricacies. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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data science jobs Title: solution architect in Atlanta, CO, United Kingdom
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