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2+ years working in an Economist / Data Scientist / Applied Scientist role building science models for production environments. MSc/PhD in Economics, Statistics, Machine learning, or equivalent industry/academic experience.
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Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
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In a quantitative field such as Computer Science, Physics, Statistics, or Applied Mathematics, the. MS / Ph. D. in Computer Science, Mathematics, Applied Statistics, Physics, Engineering.
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Machine Learning, Data Science or related discipline, e.g. Computer Science, Applied Mathematics, Statistics, Physics, Artificial Intelligence. As part of Trust & Safety within the Payments Organization, you will be involved in developing machine learning models that facilitate safe & secure SMB payments by detecting and mitigating Fraud Risk. You will experiment with various relevant Al & ML algorithms and techniques to build best-in-class solutions as part of the organization that oversees several trillion dollars of Wire/ACH transactions and.
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Meta is seeking a Research Scientist to join our AI Research Team, a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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As a Principal Scientist within Alexa, you are a trusted part of the technical leadership.
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We encourage students pursuing degrees in Psychology, Sociology, Early Childhood Development, Education, Applied Behavior Analysis (ABA), Social Work, Counseling, and Mental Health to apply today.
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Required Skills & ExperienceMasters Degree in Computer Science, Applied Mathematics, Linguistics or related discipline (PhD preferred). With applications for content management, site search, page management, SEO optimization and rolebased analytics, we are a central location for all players who manage customer experience to come together and intelligently drive business outcomes.
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Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. At Applied Materials, we are in cloud transformation program which has a vision of our technology roadmap of our current immediate needs to mitigate any OnPrem challenges and as well as for the future needs, evolving the systems, platforms, and infrastructure that our people uses day-to-day.
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MS or Ph. D. in Machine Learning, Data Science or related discipline, e.g. Computer Science, Applied Mathematics, Statistics, Physics, Artificial Intelligence. As an Applied Machine Learning Scientist in Trust & Safety for the Payments Organization, you will be involved in developing machine learning models that facilitate safe & secure SMB payments by detecting and mitigating Fraud Risk. You will experiment with various relevant Al & ML algorithms and techniques to build best-in-class solutions as part of the organization that oversees several trillion dollars of Wire/ACH transactions and hundreds of millions of card transactions.
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Founded in 2017, Applied Intuition delivers the definitive ADAS/AD toolchain and a world-class vehicle platform to help customers shorten time to market, build industry-leading products, and create next-generation consumer experiences.
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To be successful in this position you will bring:Ph. D. in Chemistry, Chemical Engineering, Physics, Physical Chemistry, Applied Physics, Biophysics or related field. These droplet systems will be used for X-ray experiments including x-ray crystallography, x-ray spectroscopy, diffraction and solution scattering for biochemistry and condensed phase chemistry applications and will primarily be deployed at the MFX instrument.
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Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 3 years of work experience with a PhD degree.
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Master of Science or Ph. D. STEM (Science, Technology, Engineering and Mathematics) Degree. Northrop Grumman Mission Systems is seeking a Principal / Sr. Principal Magnetic Bearing Lead Engineer based out of Sunnyvale, CA. This role is part of the advanced development team that will be developing next generation technology and architecture for propulsion and power generation machinery for US Navy submarines.
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BS, MS, or PhD in Robotics, Machine Learning, Applied Mathematics, Computer Science or related field. Familiarity with modern ML and GPU toolkits such as PyTorch, TensorFlow, JAX, TensorRT, and/or CUDA.
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applied mathematics economics jobs Title: analytics Company: Softsages Technology in Mountain View, CA
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