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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.
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Machine Learning: Proficient in machine learning techniques, including supervised and unsupervised learning, deep learning, computer vision, and natural language processing.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Cutting-Edge Machine Vision*: We're in the business of AI and data science.
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The Data Scientist role will have a significant role in the design and development of Aireon's Machine Learning applications and products as well as supporting data analysis of the performance of the Aireon space-based Automatic Dependent Surveillance-Broadcast (ADS-B) air traffic surveillance system.
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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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Experience with big data analytics, machine learning, artificial intelligence, or anomaly. As a Sr Cyber Engineer and assured, compliance, assessment, and solution (ACAS) SME on our team, you'll be able to work individually or in a small integrated team, and lead a task, project.
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The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Demonstrated experience with machine learning techniques including natural language processing. Use the full software lifecycle to create data science products which include data ingestion, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
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Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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Active AWS Certified Solution Architect Professional or AWS Certified DevOps Engineer Professional certification. Active architect certification in another major SaaS platform or middleware (e.g., Salesforce, ServiceNow, MuleSoft, Appian, Palantir, Databricks.
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ForeScout, Palo Alto Firewalls, Splunk and Cribl, or DoD Endpoint Security Solution. engineering projects and activities, Associate’s degree and 10+ years of experience. conducting or supporting cyber engineering projects and activities, or Bachelor’s degree.
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Degree in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on artificial intelligence, machine learning, or robotics. Expertise in computer vision, natural language processing, or reinforcement learning as applied to autonomous vehicles.
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Amazon Web Services (AWS) is seeking a Senior Worldwide Specialist Solutions Architect focused on HPC to work with our customers, including National Super Computing Centers, physics informed machine learning, CAE, Weather and accelerated computing with GPU to craft cloud-based solutions.
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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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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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