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Expertise in machine learning frameworks such as TensorFlow or PyTorch, Experience using AWS infrastructure and tools such as lambdas, Sagemaker, for scaling Proven experience working within or contributing to an AI Center of Excellence.
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In this role, you will be part of a team working in a fast-paced, open-ended environment with cutting edge technologies in deep learning and generative AI. You’ll help define and influence how our firm’s data scientists and business teams leverage data and machine learning to improve our processes and products.
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Support large scale, data science projects that leverage data transformation and machine learning models. Machine learning algorithms (e.g., clustering, logistic regression.
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As an Advanced Senior AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. + As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.
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As a member of the Data Science Chapter, the Core Data Scientist will develop and manage advanced statistical, predictive, and machine learning models, as well as provide technical expertise to a growing cross-functional team of data scientists, underwriters, and actuaries.
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2 Years Experience executing and deploying data science, machine learning, deep learning, and Generative AI solutions preferably in a large-scale enterprise setting (fewer years may be accepted with a Masters or Doctorate degree.
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DATA STRUCTURES AND ALGORITHMS In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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You will be responsible for establishing our strategy, setting roadmaps for the team, driving adoption of our machine-learning-driven applications, and utilizing end-user feedback to determine what to do next.
$100,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The Data Scientist will play a key role in designing and implementing advanced analytics solutions, employing statistical modeling, machine learning, and data visualization techniques.
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We are looking for a top-notch machine learning scientist/data scientist to join the machine learning science team of the copilot and personalization org. Expertise in classical machine learning, deep learning, and large-language-models (LLMs.
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Proficiency in performing data analytics, specifically chemometrics, predictive analytics, machine learning, multivariate data analysis, predictive analytics, and/or data mining as it related to chemical, biological, biochemical, or other scientific data.
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As a dedicated Fraud Model Management and Data Scientist Executive, you will lead a team of Data Scientist professionals responsible for advanced analytical solutions that include predictive analytics, machine learning, simulation, and optimization techniques that generate management and member insights and integrate with customer-facing applications.
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Working with the Machine Learning and Engineering team to develop new underwriting models, with the Product teams to develop new products and features, with the Merchant Pricing team to value different merchants, with the Finance team to help facilitate discussions with debt and equity investors are some parts of the role.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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3+ years' work experience in predictive analytics, machine learning space. Opportunity to work with an award-winning organization in the hottest space in tech - artificial intelligence and advanced machine learning.
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