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An educational background in data science, machine learning, computer science, statistics/ biostatistics, mathematics, computational biology/chemistry, chemical/biomedical engineering, pharmaceutical sciences, or pharmacometrics.
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The Senior Manager, Data Architecture & Engineering is responsible for translating business strategic goals into future-state data engineering and data science solutions.
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You Have: 8+ years of experience in batch and streaming ETL using Spark, Python, Java, Snowflake or Databricks for Data Engineering or Machine Learning workloads. #StartWithTheCustomer You will be focused on managing a team who are building and operating data pipelines that power analytics and modern machine learning models.
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We are expanding in data science to provide the best information possible utilizing the latest techniques in Machine Learning (including Deep Learning, Neural network.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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The lab is seeking a Science and Engineering Associate 2 to perform advanced computational engineering tasks in support of the VMR with the goal of expanding the database and making it compatible with research tasks in machine learning (ML) and artificial intelligence (AI.
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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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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Currently pursuing a degree in Data Science, Statistics, Computer Science, Economics / Econometrics, Chemical Engineering, or related field with an emphasis on machine learning or statistical methods for data analysis.
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12+ years of experience deriving insights from data and building computational software (data science, machine learning, AI, and implementing data-centric software and systems.
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These are new platforms that will operate in a hybrid model along side Mastercard's existing on-premise Hadoop Data Warehouse that is being used by various groups to derive insights, perform Machine Learning and Data Science activities which in turn supports various revenue generating initiatives across the organization.
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2+ year in a data science, machine learning engineering, artificial intelligence or equivalent role. Master’s degree in data science, computer science, statistics, computational linguistics or engineering preferred.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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machine learning engineering manager data science jobs Title: solutions manager Company: Inc in Raleigh, West Virginia
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