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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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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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Experience in artificial intelligence fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems. Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology.
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2+ years of experience working with modern AI capabilities in machine learning, including deep learning and natural language processing, and LLM frameworks. Experience with project work in deep learning, computer vision, NLP, or chatbot development.
$125,600 - $285,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Do you have the skills necessary to manage, understand, and analyze inhouse and customer data including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities.
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Experience developing and delivering technology in at least two of the following areas: data analytics, machine learning, data visualization, geospatial analysis, web services, or database development.
$96,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Completed coursework in the theory and applications of astrodynamics, remote sensing, spacecraft design, aerospace systems operations, computational fluid dynamics, machine learning, or complex systems integration is desired.
$131,000 - $219,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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The Capital Area Division (CAD) of Applied Research Associates, Inc. (ARA) has an outstanding opportunity for an exceptional Materials Scientist/Engineer with experience in manufacturing/production systems.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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What You Need to be Successful Minimum Requirements: Bachelor’s degree in Remote Sensing, Imaging Science, Astronomy, Physics, Mathematics, Atmospheric Science, Computer Science, Optical or Electrical Engineering, or another related STEM discipline.
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Center 3 (19075), United States of America, McLean, VirginiaManager, Cyber Risk & Analysis (Machine Learning) Capital One’s commitment to Machine Learning has sponsorship from leadership and the Enterprise ML Program is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML and Generative AI.
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In this role, they will support all phases of analytic work product development, from the identification of key business questions, through data collection and ETL, from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
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machine learning data mining deep applied mathematics scientist jobs Company: Icf Olson in Reston, VA
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