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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commensurate experience such as Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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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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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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While you will not have formal line management responsibilities, as a principal you will be expected to lead, mentor others, and deputize for the director of data engineering when required.
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To accelerate our clients' transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design - with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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3 years of experience in at least one of the following regulatory requirements and/or compliance issues affecting clients related to privacy and data protection: PCI DSS, GLBA, Basel II, EU Data Protection Directive, International Cross Border and United States’ State Data Privacy Laws. Must have 3 years of technical architecture experience integrating data protection software into clients' infrastructure and applications.
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A bachelor's degree in engineering or engineering technology, with a preference for Chemical Engineering, Mechanical Engineering, or Pulp and Paper Science. A minimum of 7 years of experience in pulp and paper industry operations and engineering, preferably at an integrated kraft mill(s.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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QUALIFICATIONS:Minimum education and experience required: Bachelor’s degree in Applied Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or a related field of study plus 7 years of experience in the job offered or as Software Engineer, Senior Java Developer, Associate / Software Engineer, Consultant, or related occupation.
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Highly proficient with geotechnical engineering principles, practices, process, design/build, and the application to permitting and project work-related issues. Oversees the development and implementation of advanced technologies, monitoring devices, building materials, modeling techniques, design requirements, and operating strategies to account for the safety and functionality or end-users, transportation systems, structures, and the implementation of future-ready solutions with geotechnical engineering design standards.
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GSEC, GCIA, GFE, GCFA, CISA, CISSP, CISM, or CIA certification(s)Dev Ops / Engineering / Network / System Administration experienceTerraform and CI/CD experienceDevelopment and scripting experience is a plusMust be comfortable with being on-callDrug TestingTo be employed in this role, you’ll need to clear a pre-employment drug test.
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Stay up-to-date with emerging technologies and best practices in data engineering, cloud computing, and big data analytics. Excellent problem-solving skills and attention to detail, with the ability to troubleshoot and debug complex data engineering issues.
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Operational support responsibilities include platform set-up and configuration, workspace administration, resource monitoring, providing technical support to data engineering, Data Science/ML, and Application/integration teams, performing restores/recoveries, troubleshooting service issues, determining the root causes of issues, and resolving issues.
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data science engineering jobs Title: director in Atlanta, NE, United Kingdom
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