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Design and implement geospatial workflows and automation pipelines to streamline data processing and analysis tasks for carbon monitoring and climate analysis. As they expand their team, we're seeking a talented Earth Observation / Geospatial Data Scientist to join them on their mission.
$200,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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We are looking for a Senior Quantitative Scientist with data science, machine learning, and natural language processing (NLP) expertise that will work closely with clinical structured and unstructured text data derived from electronic health records in support of Verana Qdata® development which enables insight generation.
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You will design experiments for large-scale data collection, investigate & understand deep learning architectures, and invent novel techniques for processing neural signals. Experience working with bio-signals (EMG, EEG, EKG, etc), medical devices, or real-world noisy data (eg.
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Design pipelines for image processing of biological microscopy data. Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$177,000 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Build pipelines for quality control, processing and analysis of DIA and DDA data, including TMT and label-free quantification strategies. The ideal candidate will be involved in all aspects of a research project and develop robust computational tools and pipelines for data processing and analysis.
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Responsible for the development of algorithms and/or tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings. Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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As a Private Client Sales Data Scientist Lead you will be responsible for supporting and managing partner relationships with the Private Client Sales Strategy team, through analytical data exploration and reporting on outcomes, ad-hoc (diagnostic/tactical/strategic) deep dives, test design building and reading, and overall portfolio performance analysis, with an emphasis on controls execution and monitoring.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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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. We're currently looking to hire research scientists with experience in machine learning and natural language processing.
$225,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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As a data scientist at Salesforce AI Research, your role will be at the intersection of software engineering and AI research. Are you passionate about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning.
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Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.
$167,325 - $278,875 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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You’ll be a data scientist on the Data Science Credit team, where you will work on supporting customers/clients to make the best use of the Plaid Credit product suite to manage credit risk in their portfolios.
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Understanding of data science/machine learning models and algorithms, not limited to: deep learning (CNN, RNN etc), decision trees (e.g. xgboost, random forest), unsupervised techniques (e.g. clustering, anomaly detection), natural language processing and statistical methods.
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Familiarity with distributed data processing/analysis and modeling paradigm. Research experience (publications) in the following areas is preferred machine learning, deep learning, NLP, computer vision, data mining, causal inference, information retrieval, game theory.
$133,600 - $282,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
data scientist processing jobs in San Francisco, Bentonville, Kansas
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