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Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning. We are seeking a talented Data Scientist with a strong focus on LLM (Large Language Models) and Deep Learning to join our team.
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. - Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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This Data Scientist will be responsible for identifying insights from data through machine learning, deep learning, and AI to augment decision making by the business by applying AI/ML/DL methods and algorithms across retail areas such as forecasting, Membership and Marketing, supply chain cost optimization, and inventory management.
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Effectively leverage statistics, machine learning (with an emphasis on deep learning), reinforcement learning, generative AI, and data mining, to support teams in critical business areas and tackle challenging problems with a direct impact on companies OKRs (Objective and Key Results.
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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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Our Data, Science & Analytics team works across our big data cloud platform and data supply chain, using advanced analytics, machine learning, AI, and deep learning methods to make an impact across our entire data ecosystem.
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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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Minimum QualificationsBachelor's Degree in a related field such as statistics, data science, applied mathematics, computer science, information systems, or other quantitative and computational discipline.
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Technical expertise and in-depth knowledge in one or more of the following ML topics: Anomaly detection and signal processing, time-series data analysis and modeling, Conventional Machine Learning methods, Computer Vision, Deep learning, CNNs, Natural Language Processing (NLP), text mining, sentiment analysis, information retrieval, etc.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Utilize data mining, statistical analysis, machine learning, and predictive modeling techniques to provide data solutions for Basketball Operations. Reporting to the Director, Basketball Data Strategy and supporting the Data Scientist, Basketball Data Strategy, they will develop, test, and maintain predictive models and metrics for player evaluation, roster construction, and in-game strategy.
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Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools (e.g., Tableau, Power BI). We are seeking a talented and experienced Data Scientist to join our team onsite at Warner Robins Air Force Base (AFB), GA. This role is integral to harnessing data to support mission-critical decisions in a secure defense environment.
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We are seeking a computational physicist, computational scientist, or applied mathematician to fill the role of a high-performance computing computational physicist. Bachelor's degree in physics, applied mathematics, scientific computation, computer science, materials science and engineering, or a related field with 5 years of relevant experience (3 years with an M.S. or 0 years with a Ph. D.
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2+ years working in an Economist / Data Scientist / Applied Scientist role building science models for production environments. MSc/PhD in Economics, Statistics, Machine learning, or equivalent industry/academic experience.
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