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In addition to being a hands-on developer with experience in business intelligence, analytics, data science, and data products, the ideal candidate will have strong command of the principles of large-scale database development, data modeling, data mapping, data testing, data quality, and documentation preparation.
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Graduate degree (MS or above) or Graduate level work in quantitative discipline (e.g., electrical engineering, industrial engineering, statistics, operations research, economics, computer science, data analytics, mathematics, physics, etc.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. 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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The Quantitative Engineer will lead initiatives on developing quantitative methodologies and providing quantitative analysis to support engineering studies, plans, calculations, evaluations, design documents, integrated systems analysis, cost estimates, budgets, associated with the research, planning, design, operation, and maintenance of Exelon Utilities' overall strategic plans and initiatives.
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3+ years of experience with artificial intelligence (AI), data science, ML engineering, data research, software engineering, or data analytics. As an ML engineer, you’ll train, test, deploy, and maintain models that learn from data.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. You’ll be part of a large community of ML engineers across the firm and collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners to deliver world-class solutions to real-world problems, processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Master`s degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or related STEM field. Bachelor`s degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or related STEM field.
$150,280 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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DOD Cyber Workforce (DCWF) 8140 (451) System Administrator role: A BS degree in Information Technology, Cybersecurity, Data Science, Information Systems, or Computer Science, from an ABET accredited or CAE designated institution fulfills the educational requirement for this WRC (conferred within 5 years or able to prove continuous relevant work experience) -OR- Personnel Certifications: Cloud+ or GICSP or SSCP or Security+ or GSEC. If none, must be willing to obtain in first 30-days.
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2+ years of experience in a dashboard development, data science, MLOps, DevOps, software engineering, data research, or application development role. As a machine learning (ML) engineer on our Strategic Innovation team, you’ll train, test, deploy, and maintain models that learn from data.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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PhD in Computer Science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field. 10+ years of relevant industry experience as a data and machine learning engineer, with a strong track record of shipping successful AI/ML products at scale.
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Masters in Data Science, Data Engineer, Computer Science or similar field. As an Senior Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns.
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The Lab Manager should have a technical degree in Electrical Engineer, Computer Science, Mathematics, Physics, or a related STEM field and practical experience running an electronic systems (or similar) laboratory.
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Acuity is looking for a Data Engineer to join our Engineering Team. In this position, you will apply your skills in data science, data analytics, and data warehousing to pioneer cloud and data services with our clients.
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Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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