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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Udemy is looking for a data scientist to join a team largely focused on exploring and building novel applications of generative AI to improve the teaching and learning experience.
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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.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Partner directly with the Cash App Health org, working closely with operations, engineers, legal and compliance, and machine learning teams.
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Our team specializes in a range of data analytics and science services, including data visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation.
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Statistical analysis experience, including experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
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Staff Software Engineer (Data & Machine Learning Operations) Demonstrated experience designing and building scalable production software solutions and architectures, especially for machine learning or image processing.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Experience with cloud services and platforms like AWS, GCP, or Azure for deploying and managing ML models, specifically using Azure Databricks, Azure Machine Learning Studio, Azure Data Factory.
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Oversees others in extracting data from existing databases or literature and preparing data for statistical machine learning analysis. Prepares, analyzes and interprets complex data using statistical modeling, machine learning or advanced algorithms.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Stay abreast of the latest research in machine learning and computational biology, contributing novel ideas and methodologies to the scientific community. They are seeking a highly skilled Research Scientist to assist on leading and innovating their deep learning initiatives.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies. Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago
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