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A Masters’ degree in computer science, AI/ML, data science, mathematics, statistics, applied linguistics/psychology/neuroscience and related fields, or 2+ years of equivalent experience.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. 2) Data Science/Machine learning track.
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Degree in Data Science, Computer Science, Computational Chemistry, or related field. Bachelor’s or Master’s Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline.
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Stay updated with the latest data science and computational biology research and methodologies, integrating these into internal R&D. Preferred: Drug discovery experience, CNS/neurodegenerative disease research, machine learning applications in biological data.
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Must have a Bachelor’s degree in Management Information Systems (MIS), Computer Science, Information Technology, Statistics, Engineering, Mathematics, Data Science, Machine Learning or a related field and 5 years of progressive, post-baccalaureate advisory and/or consulting work experience.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Model Integration & Scalability: Collaborate with cross-functional teams to integrate data science solutions into scalable, production-grade systems using open-source frameworks like Apache Spark and containerization technologies like Docker.
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Bachelor of Science in wildlife biology, ecology, or a closely related field with two years of experience in field work that includes: 1) capture and handling of turtles, 2) project and/or field team coordination, and 3) data management.
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The Role: The UChicago Crime Lab and Education Lab are seeking a Data Science Manager with strong technical and project management skills to work on large-scale social policy experiments in the areas of crime and education.
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Data analysis of basic protein analytical techniques. Associate of Science degree in Biological Sciences, or similar science background. Basic protein analytical techniques (HPLC, iCE, SDS-PAGE.
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Day to day you’ll be building ETL pipelines, modeling data to feed analytical reports and data science models, designing data access tools, or building data models in Looker.
$152,000 - $205,500Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Qualifications Professional: BS or BBA Degree, preferably in Computer Science or Management Information Systems, or equivalent experience. Work with EI group to maintain and improve data interfaces between Advancement and other campus products, including Banner, Slate, SalesForce, and Ellucian Experience, among others.
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Data science, machine learning, optimization models, PhD 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)Primary Location.
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Proficiency in Data Science and Data Visualization tools (, Qlik/Tableau). Design dashboards, conduct data engineering/ETL utilizing tools such as Databricks, and apply agile scrum methodologies.
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data science jobs Title: management trainee
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