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Solid experience managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data to develop data marts for data science use cases and machine learning applications.
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Strong understanding of fundamental computer science concepts, software design best practices, software development lifecycle and common machine learning design patterns. Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
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The University of Chicago Crime Lab and Education Lab are seeking a data scientist to work on our portfolio of projects applying machine learning to public policy, particularly in the area of improving policing and police-community relations.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Ph. D. or Master's degree in Computer Science, Artificial Intelligence, Biomedical Engineering, or a related field. Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, and model.
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Degree : Bachelor's or Master's degree in a relevant discipline (e.g., Computer Science, Data Sciences, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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.
$165,100 a yearRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Responsible for providing professional and scientific expertise in the application of data science disciplines for complex problems to include machine learning and deep learning algorithms, data wrangling, statistical analysis, visualizations, programing and computer science, distributed computing, cloud computing, data science ethics and/or other related scientific principles, methods, and techniques.
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Experience with data visualization tools such as Tableau or Power BI Experience with Agile methodology, JIRA, and Github Team player with excellent verbal and written communication B.S. (or graduate degree preferred) in Data Science, Computer Science, Mathematics, or a related field.
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3-5 years of work experience as a BI Developer, Data Engineer, Machine Learning Engineer, or similar experience. Degree in Computer Science, Mathematics, Statistics, Econometrics, AI/Data Science or other quantitative backgrounds or equivalent work experience.
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Research experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms. Use your data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems.
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Qualified candidates will have completed a PhD in statistics or in a closely related field (e.g., computer science, bioinformatics, machine learning, mathematics, or other areas where statistical concepts and methods play an important role.
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Ph. D. in computer science with research experience in building/applying machine learning models during PhD/industry or postdoctoral experience in Machine Learning.
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computer science machine learning jobs in Chicago, IL
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