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Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation)Total BenefitsHere are just a few of the benefits you’d enjoy working in this role for Kimberly-Clark.
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5+ years experience in AWS (or other clouds) relevant to machine learning including data processing & storage, API development, MLOps, CI/CD pipelines, and container orchestration (preferably ECS & EKS.
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Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including Machine learning AI, Mobile Optimized Surveys, Gamification, Behavioral economics, real-time feedback, Multimodal surveys, Blockchain technology, Virtual and Augmented reality.
$160,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Excellent programming skills (including R, Python, SAS) and deep-knowledge for statistical analysis and machine learning. + Demonstrated experience in cancer genomics and omics data analyses, including experience with developing pipelines for next-generation sequencing data analysis and QC.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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This role will be part of a multidisciplinary actuarial/data science team designing and delivering powerful, analytical tools utilizing statistical modeling, machine learning, and advanced data engineering techniques to enhance and overhaul core actuarial processes.
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For the purposes of this search, AI/ML includes machine learning, artificial intelligence, and technologies where machine learning could be applied to high volume or technical data (i.e., digital interventions, mobile health, robotics, simulation and virtual reality, and wearable technology.
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Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch,. Required Skills & Experience Design, develop, and maintain scalable data pipelines and ETL processes using both Java and Python within a Hadoop ecosystem (HDFS, Hive, Spark.
$135,000 - $170,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
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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. In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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Keep current on latest developments in field of AI, Machine Learning, Deep Learning, NLP, Image processing and by reading relevant papers/ journals and applying the new learnings to create innovative data and analytics solutions.
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Collaborate with the Enterprise Data and Machine Learning SRE staff to promote a DevOps culture among EDML app teams in accordance with You Build You Own (YBYO) principles. We are seeking a Senior SRE DevOps Engineer who is passionate about marrying data with emerging technologies to join our team.
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Driven by data science and powered by machine learning, our offering analyzes officer performance data in order to identify potentially problematic behavior. Assist experienced data scientists in constructing, enhancing, and validating machine learning and statistical models relating to law enforcement risk and effectiveness measurement.
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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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Build, evolve and scale the data science technology capabilities to enable our enterprise machine learning platform. Enable the latest machine learning tools and frameworks for our Enterprise Data Science Community.
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data machine learning jobs in Des Plaines, IL
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