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Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining. Architect scalable and maintainable microservices using Scala, Java, or Python to support machine learning workflows.
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As a Data Scientist, youll use your full toolkit statistical modeling, machine learning, data mining, data visualization, and software engineering to develop data products and models that are used by millions of users and power the growth of our business.
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Use techniques like LIME, SHAP, recent temporal pattern mining (RTP) to develop explainable machine learning models. Experience applying machine learning (in particular deep learning) to health data, time series problems or both.
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The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.
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Swish is seeking a talented NLP Engineer to join our team and help us push the boundaries of what is possible with machine learning in the field of sports analytics. Bachelor degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area.
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You will contribute to developing machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials. Join our team and leverage your expertise to develop state-of-the-art machine learning models and prediction pipelines using multi-modal biomarker data from clinical trials.
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2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models. As a Data Scientist at Netomi, you will drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements.
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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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Work with cutting edge ASIC technology to maximize efficiency across our Bitcoin mining fleet. We are actively seeking Senior / Staff Software Engineers for our Bitcoin mining operations team to work on our cutting-edge distributed infrastructure and tooling.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Successful candidates will also have practical experience building large scale ETL pipelines on AWS or GCP for data engineering, feature extraction, statistical analysis, and correlations.
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As a Data Scientist you should be comfortable discussing statistical and machine learning methodology and have significant experience with Machine Learning systems, working with the details of algorithms, not just the tools' application.
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Our team is responsible for enabling Hims & Hers business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, and Engineering) by providing a platform with a rich set of data and tools to leverage.
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learning data mining jobs Title: engineer data analyst in South San Francisco, CA
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