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PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related field. Use LLM-backed agents for lab orchestration, design of experimental assays, and optimization of process parameters for materials synthesis and testing.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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An undergraduate degree in a quantitative discipline (Economics, Statistics, Engineering, Applied Mathematics) Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, etc.
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Masters degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics or equivalent experience. PhD degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
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Bachelor’s degree in Engineering, Computer Science, Operations Research, Applied Mathematics, Business or related field with a focus on data science / advanced analytics / AI / machine learning / IoT.
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BS/MS degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields. - Skilled in deep learning model training(CV/NLP/NN), serving, and optimization.
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Our primary focus is Data Sciences; leveraging data and applied mathematics to solve our clients’ business challenges. 2+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization.
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Master's degree in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or related field and 18 months of relevant experience in operations research field.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader.
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Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
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368,000 - $420,000 for Sr. Distinguished Applied Researcher. $389,900 - $444,900 for Sr. Distinguished Applied Researcher. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
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322,000 - $367,500 for Distinguished Applied Researcher. $341,200 - $389,400 for Distinguished Applied Researcher. Distinguished Applied Researcher. Ph. D. plus at least 4 years of experience in Applied Research or M.S. plus at least 6 years of experience in Applied Research.
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OR a Bachelor’s degree and 10+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience. To be considered for this opportunity you must have a Master's degree completed by start date and 6+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience.
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