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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating data science applications as a user of the platform.
$242,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. San Francisco, California (Hybrid On-site): $213,400 - $243,500 for Manager, Data Science.
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As a Data Scientist Lead - VP, you will be hands-on in analyzing large-scale data to create analytical, statistical, and data science models to uncover underlying patterns and drivers to business questions in employee relations, conduct, security, compliance, customer complaints, etc.
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Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization. San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Mgr, Data Science.
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We are seeking highly motivated postdoctoral researchers in biomedical informatics and data science to work on projects focused on the development of biomedical blockchain, clinical predictive models, and blockchain-based privacy-preserving learning.
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Expertise in machine learning, AI, and advanced analytics, with hands-on experience in Python, R, SQL, or other data analysis programming languages. OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND.
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Strong proficiency in machine learning techniques and algorithms, with hands-on experience in NLP, computer vision, OCR, and predictive modeling. As the VP of Data Science, you will lead and mentor a team of data scientists and machine learning engineers to deliver innovative and scalable solutions that meet the needs of our customers.
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More than 10 years of hands-on Experience with Big Data frameworksPractical experience with Machine Learning and Deep Learning, GenAI techniquesExperience developing data products, technologies and platformsExperience with Public Cloud technologies such as AWS or Google CloudExcellent communication skills: Ability to translate technical and analytical metrics into simple content and present to business partners as well as senior leadership.
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Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence technologies, and evaluate their potential impact on our business and industry.
$315,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Expert user of Big Data technologies/platforms, statistical platforms and data visualization tools, advanced SQL skills, hands-on experience with machine learning, predictive modeling and statistical analysis techniques.
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Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc. Hands-on experience with production-grade machine learning solutions and/or software development.
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Identify and track key success metrics for the ML PlatformWork with senior leaders to prioritize business and ML Platform needsPartner closely with tech partners on implementation and deployment of Cloud capabilitiesQualifications:Masters or PhD degree in Computer Science, Mathematics or related field.
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