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Utilize: Python, PySpark, Statistical Analysis System (SAS), Machine Learning (scikitlearn, SHAP, MLlib), Deep Learning (TensorFlow), MapReduce, Hadoop, Hive, GitHub, Jira. Required: Master’s degree or equivalent in Computer Science, Engineering, Information Technology, Mathematics, Statistics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Scientist or related.
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Bachelor's in Computer Science, Computer Engineering. Experience and/or significant course work in any of the following areas: Network Security, Cryptography, Database Structure and Management, Machine Learning, Data Modeling, Data Storage/Interfaces, Electrical Communications, Image Recognition/Processing, Medical/Business/Fintech Informatics, Video Encoding/Decoding, Virtual Reality, Virtual Machines, Cloud Computing.
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Bachelor/Masters of Science degree in Computer Engineering, Robotics engineering, Mechatronics, Electrical engineering, or equivalent. Master of Science degree in Computer science, Computer engineering, Robotics engineering, Mechatronics.
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Preferred SkillsExperience with Liquibase or similar migration applicationsLambdaGitLab, CI/CDData warehousing, ETL, data archivingKnowledge of software development and scriptingBS degree in Computer Science or relevant fieldAgile software development experience.
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Or software programmingSpring boot, Microservices, Docker, Jenkins and REST API's experienceExcellent written and verbal communication skillsFor data Science/Machine learning PositionsREQUIRED SKILLS.
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Bachelor's Degree, preferably in Computer Science or Computer Engineering. Works independently, within teams, and with multiple types of skillsets (business, data architect, other technical resources.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools.
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As an applied machine learning scientist, you will use your expertise in modern computer vision methodology to improve world-leading Sartorius imaging products routinely used by major companies across the life science and biopharmaceutical industry.
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In this role you will have a good understanding and knowledge of cell biology/cell physiology, biochemistry and knowledge of statistics, data science and machine learning concepts. You have completed a Ph. D. in Computer Science, Machine Learning, Biotech, Engineering, Physics, or related disciplines/equivalent research experience, preferably with a focus on life science or biotechnology applications.
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Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline. We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations.
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Patent Classification Specialist - Computer Science page is loaded. Patent Classification Specialist - Computer Science. Network Security, Cryptography, Database Structure and Management, Machine Learning, Data Modeling, Data Storage/Interfaces, Electrical Communications, Image.
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The ability to use computer systems to perform research and classification operations. We are looking for an excited, inquisitive Research Analyst/Patent Classification Specialist (PCS) to join our Patent Search and Innovation Intelligence Services Team.
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Bachelor's degree preferably in Computer Science, Computer Engineering, Industrial Engineering, Applied Mathematics, Chemical Engineering or related field. The projects you’ll be contributing to will give you hands-on exposure to execution of advanced concepts in disciplines like Operations Research/Optimization/Prescriptive Analytics, Software Development/Engineering, Data Engineering/Business Intelligence, Quality Assurance and more.
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You possess an M.S., Ph. D., or equivalent, in Robotics, Control, Computer Science, Applied Mathematics, or other quantitative fields. Our teams are contributing to next generation autonomy and ADAS active safety systems through core algorithms, data-driven approaches, and efficient architectures.
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To be successful as a Data Scientist on the Field Analytics Data Science team you should have a demonstrated background blending large datasets, statistics, creativity, and consulting into actionable outcomes.
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data science computer jobs in Ann Arbor, MI
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