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Master's or foreign equivalent degree in Computer Science, Machine Learning, Data Science, Math, Statistics, Physics, Bioinformatics, Software Engineering, Engineering, or equivalent technical field.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT. 3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems.
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M.Sc. in Computer Science, Data Science, or related engineering field with an emphasis in biomechanics (Kinesiology, Physiology, Exercise Science, etc.) Lead assigned data science initiatives for projects combining a large variety of human performance and runner behavior data, including but not limited to kinetics, kinematics, physiology, runner preferences, and runner perception.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Lynker is seeking an experienced Environmental Data Analyst to support NOAA's Northwest Fisheries science Center with the analysis of stream invertebrate drift and estuarine invertebrate assemblages across the Pacific Northwest.
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For example- SVM, Random Forest, graph models, Bayesian inference, neural networks, NLP, LLM (Required) 4-7 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, etc.
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Senior Engineer: Cloud Infrastructure YOUR TASKS AND RESPONSIBILITIES As Bayer Crop Science's digital farming arm, we advance regenerative agriculture and technology breakthroughs using the latest agronomic science, data science, engineering, and real-world farming experience.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. For data Science/Machine learning Positions.
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Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
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Normally to be proficient in the competencies listed above, the Mental Health Parity Senior Data Reporting Analyst would have a bachelor’s degree in mathematics, actuarial science, statistics, computer science or related field and 7 years of related experience or equivalent combination of education and experience.
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Experience building big data pipelines with Hadoop, Java, Scala, and Spark. -Use big data technology to evaluate and prioritize content discovery features. MS or Ph. D. in Computer Science or related subject area.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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The University of Washington is a science and engineering leader in computation, modeling, and data sciences, from atmospheric sciences and oceanography to quantum chemical systems and protein design.
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PhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science.
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The position requires skills in data science, statistics, and computer science, particularly as they apply to the analysis and management of complex biomedical and clinical data.
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computer science big data jobs Title: professor assistant in Bellevue, WA
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