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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
$178,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude.
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Masters in data science, computer science, engineering, analytics, mathematics, statistics, or a related technical field. As a Data Scientist within Manhattan Associate’s Global R&D organization, you will contribute to the research, evolution, innovation, and productionalization of advanced analytic methods, Data Science, Artificial Intelligence and Machine Learning capabilities across our industry leading Supply Chain solutions.
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Employer will accept a Bachelor's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Engineering, or a related technical field and four years of experience in job offered or in a Senior Data Scientist related occupation.
$196,700 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Coordinate and collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals. We are looking for a Senior Data Scientist, ideally with a background in demand forecasting and time-series, to join our Data Science team within our Data and Analytics CoE. As a data scientist within the CoE, your mission will be to develop world-class AI, data science, machine learning, and related solutions to solve for our biggest challenges.
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Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc. Experience with LLMs and Deep learning models to develop business and data science solutions.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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As a Principal Product Scientist on the Product Science team, you will help lead strategic, data-driven decision making at Mailchimp. Our analytics team is a growing team here at Mailchimp to support our strategic initiatives across Product Management, Engineering and Design as Mailchimp continues to evolve.
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7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering. Bachelor's degree or equivalent education and 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Bachelors Degree Required with majors in Biomedical Science, Computer Science, Mathematics, Engineering or business-related field preferred. 1+ years of experience utilizing Data Science tools including Python, SQL, Generative AI tools, Machine Learning techniques.
$179,875 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field. Drive innovation and continuous improvement in data science methodologies and practices within the organization.
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Bachelor’s or graduate degree in environmental engineering, civil engineering, geotechnical engineering, geology, environmental science or other closely related technical degree.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
$78,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Master's degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields; PhD from an accredited college/university is preferred.
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You will lead the development of innovative NLP solutions, leveraging your expertise in natural language processing, machine learning, and data science to deliver scalable and reliable solutions.
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data science engineering jobs Title: scientist in Atlanta, KY, United Kingdom
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