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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives.
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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
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Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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Expertise in data modeling, predictive and prescriptive analytics techniques, machine learning, and SQL query optimization; strong understanding of data governance, data quality, and data security principles.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc. As the Program Manager, you will own the direction of program initiatives and work with both the technical and business development teams on the execution and delivery of AI and machine learning (ML) projects.
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Undergraduate teaching experience in core topics in Data Science such as programming, data mining, data visualization, Parallel and Distributed Computing, Machine Learning, Big Data Engineering and, Probability and Statistics will be considered an asset.
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Prior experience in delivering impact using statistical analysis, predictive modeling, and machine learning. Build predictive models using statistical and machine learning techniques used for classification and regression.
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Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
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In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
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Description:The Finance Data Science & Analytics team drives strategic decisions for the business by applying statistical, innovative, analytical approaches and machine learning techniques.
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Our data scientists build predictive models utilizing machine learning and advanced statistics. 3-5 years of experience with predictive modeling, databases, computational simulation, clustering, machine learning in academia or industry.
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Demonstrated success in risk management experience using data science, quantitative methods, machine learning, decision optimization, Operations Research, Statistics, Applied Mathematics, Econometrics, Python, Spark, Scala, or R.
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We are seeking highly motivated postdoctoral researchers in biomedical informatics and data science to work on projects focused on the development of biomedical blockchain, clinical predictive models, and blockchain-based privacy-preserving learning.
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machine learning jobs Title: data science in New York, Anoka, Minnesota
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