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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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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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Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering. Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training.
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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.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$199,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Bachelor's Tech School degree in Computer Science, MIS or Engineering or relevant technical field and or commensurate years of real-world experience in software engineering.
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GPA of 3.5 or higher is preferred Common areas of study include but are not limited to: Economics Data Science Financial, Stochastic, and other applied Math Statistics and econometrics Computer Science Engineering Operations Research Other sciences, such as Physics Candidates should possess a high level of intellectual curiosity, a drive for excellence, and a commitment to achieving sustainable results.
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Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Lead Machine Learning Engineer. Serve as a subject matter expert in machine learning and fintech domains.
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Principal Data Architect - Telecom, Media & Technology - Senior Manager - Consulting - Location OPEN
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Bachelor’s degree in Technology, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning and at least 8-10 years professional consulting experience in industry or in technology consulting.
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Verifies GCIC/NCIC entries as well as maintaining and updating the GCIC/NCIC computer system. Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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Bachelor’s degree in Computer Science, Computer Engineering or a technical field. San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
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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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The science and social studies teacher will be part of a team that is committed to learning and growing together through a process of collaboration and coaching. Social-emotional learning, character and student well-being are seen as essential to success on and off the field.
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machine learning data science computer engineering jobs Title: analyst in Atlanta, CA, Arkansas
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