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The RoleThe 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.
$128,000 - $240,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Microsoft Azure certification(s) (e.g., Azure Data Engineer, Azure Solutions Architect) is a plus. The Senior Data Architect will play a crucial role in shaping our data architecture strategy, ensuring scalability, reliability, and performance of our data systems.
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MA/MS or Ph. D., or foreign equivalent degree in relevant language education field with demonstrated expertise through experience or publications in one or more of the qualifications required for language instruction at FSI (i.e., curriculum development, proficiency assessment, task-based teaching and learning, adult language learning, educational technology in FLE, etc.
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Design, develop, and evaluate large and complex models and advanced algorithms, with a particular focus on Natural Language Processing (NLP) and Large Language Model (LLM) development.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Experience with cognitive computing, data integration, data mining, Natural Language Processing, Hadoop platforms, or automating machine learning components. This is a chance to use your deep OS knowledge and broaden your skill set into areas like Cloud computing, large-scale data ingestion and processing, multiple data store types, including graph data, time series, spatial, and other NoSQL, high performance data streaming, data science, and supporting the integration of novel mission applications and analytics.
$84,600 - $193,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provide technical expertise and guidance in AI/ML algorithms, data modeling, data engineering, and data governance and support the deployment across various domains (e.g., natural language processing, computer vision, predictive analytics.
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Implement machine learning techniques, including natural language processing (NLP) and computer vision. At least 10 years of relevant experience in machine learning engineering, data engineering, or software development.
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Design, implement, and support call flows to integrate with 3rd party applications such as CRM/PRM, Call recording vendors, Workforce Management, Quality Management, Natural Language Processing, Automatic Speech Recognition, and other Cloud integrations.
$121,900 - $203,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Education and Certifications: Bachelor's degree in Geography or related physical or geospatial science such as Civil Engineering Technology, Construction Technology, Cartography, Information Technology, Computer Science, Urban Studies/ Planning, Architecture, Engineering, Interior Design, Drafting or Construction related field or a minimum of 10 years' experience in CAD Management.
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Kimley-Horn has an opportunity for a motivated Senior Project Manager to expand our Natural Gas practice in Reston, Virginia (VA)! + Knowledge of natural gas systems and/or solar industry and processes.
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The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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This position requires a minimum of % hybrid on-sitePreferred Qualifications:An advanced degree in a STEM field – preferably electrical engineering, radar engineering, systems engineering, data analytics, artificial intelligence or equivalent.
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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and DataScience tools. As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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