Allstate · 4 days ago
Machine Learning Scientist
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Responsibilities
Working with large geospatial data sets using distributed computing frameworks
Building spatial and machine learning models using a variety of libraries/tools and cutting-edge techniques
Identifying opportunities for new machine learning solutions, exploring new data sources for enrichment, collecting appropriate labels for learning, establishing actionable metrics, and creating reusable model validations and risk mitigation
Communicating results to key stakeholders in a clear and compelling manner
Applying appropriate methodologies for the problem and validating the solution with the appropriate metrics
Establishing and following data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility and compliance
Expanding your machine learning skillset through development opportunities and researching innovative tools and techniques to level up our capabilities
Qualification
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Required
Master’s or PhD degree in a machine learning/AI related field such as engineering, statistics, computer science, physics, or related discipline
Over 7 years' experience with developing end-to-end machine learning solutions/algorithms including model development, model deployment, model monitoring, and model life-cycle management
Demonstrated advanced knowledge in predictive models such as parameterized methods, ensemble algorithms, deep neural network, large language models, graph neural networks (GNNs), convolutional networks, transformer architectures
Experience with scientific computing libraries Scikit-learn, TensorFlow, PyTorch, Spark ML-lib
Experience with deploying ML models using AI platforms such as Vertex AI and Sagemaker
Experience with geospatial data is highly preferred, such as US census data, weather data, parcel data, POI, etc
Ability to translate product requirement into well-defined analytical problems
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
Preferred
Ability to process, analyze, and visualize large amounts of geospatial data using Spark/SQL is a plus
Domain knowledge with transportation models
Experience with spatial models and techniques such as kriging, spatial linear mixed models, spatio-temporal models, graph theory models
Experience with image data
Experience with large language models
Company
Allstate
Allstate is an insurance company that offers car, home, and life insurance services. It is a sub-organization of Allstate.
Funding
Current Stage
Public CompanyTotal Funding
unknown2014-01-13Post Ipo Equity· Undisclosed
1993-06-11IPO· nyse:ALL
Leadership Team
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2024-05-20
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