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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Center 2 (19050), United States of America, McLean, Virginia Principal Data Scientist, Consumer Identity Machine Learning Data is at the center of everything we do. Team Description Consumer Identity ML is the data science and machine learning team inside Capital One’s AI foundation organization.
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Own the quality of end to end learning experience for our global flagship programs in the domain of analytics, data science and artificial intelligence. 1+ years of working experience in Data Science, Analytics or Artificial Intelligence.
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We are seeking a Bioimage Informatics Scientist - Image Analysis & Machine Learning to spearhead our next efforts to extract quantitative biological insights from millions of fluorescence microscopy images.
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The successful candidate will develop novel machine learning methods for multimodal clinical data, including generative models and representation learning, leveraging their expertise to improve trial efficiency, patient outcomes, and overall trial success rates.
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Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more — to reveal the insights hidden within huge volumes of numeric and textual data. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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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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Consumer Identity ML is the data science and machine learning team inside Capital One’s AI foundation organization. Specialized experience in the fields of Information Retrieval, NLP, Data-centric AI, and Knowledge Graphs.
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Threads Relevance is looking for a Data Scientist to improve recommendations. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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We're seeking an Applied Machine Learning Research Scientist to collaborate closely with our top-tier machine learning and data systems experts, driving innovation and creating the foundation for groundbreaking machine learning products.
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Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
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At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, LinkedIn and Pinterest.
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4+ years experience in data science, research science, machine learning, or similar role, applying and adapting deep learning, graph neural networks, or reinforcement learning techniques to time series regression & forecasting problems.
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Seasoned professional with over 5 years of extensive hands-on experience in roles such as data scientist, applied scientist, software engineer, or ML engineer within the realm of machine learning.
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The Risk Data Science team is looking for a Senior Staff Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various credit risk areas at SoFi. The Senior Staff Data Scientist will work closely with Credit Risk, Product, Engineering teams to design solutions for loss mitigation and loss forecasting.
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learning data jobs Title: learning scientist in Emeryville, CA
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