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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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We are seeking a passionate data scientist to work together with the Peacock Science & Technology Fellow on critical Peacock Decision Science initiatives and to boost innovation and research in Machine Learning, Artificial Intelligence and Media Science.
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8+ years of relevant data science experience in an applied role – preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI. The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer.
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This is a hybrid role that requires the ability to work with data engineering / Data science projects. We are looking for a hands-on Azure Data Architect who is experienced with Azure data services, Databricks, and has worked with a data scientist team.
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Our Global Analytics and Data Science team is looking for a seasoned data scientist to work on our next generation CECL-compliant loss forecasting models. Analyze large volumes of internal and external data using common data science tools (SAS, SQL, R, Python, etc.
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Maryland Language Science Center (MLSC), Computer Science, the Social Data Science Center, the National. the rank of Assistant or Associate Professor in computational psychology, computational cognitive science, or.
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By your actions, improve data quality and outcome for the data engineering, analytics and data science users and producers of data. Bachelor's degree in Computer Science with focus on data engineering preferable.
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You will work to cultivate data science skills within the NIH by teaching courses to scientists on best data practices (e.g. Software and Data Carpentries, BrainHack Global as well as interfacing with specific neuroimaging repositories (e.g. The Adolescent Brain and Cognitive Development Project (ABCD), OpenNeuro, UK Biobank, The NIMH Data Archive.
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As a Data Science Senior Manager, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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The Director, Data Science will be a key business partner to the VP Digital and Sr. Director of Loyalty Strategy and CRM. By improving our access, understanding, and analysis of our customer data, we will be able to drive more informed decision-making and guest-focused strategies.
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The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine.
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The Department of Mathematical Sciences offers undergraduate degrees in Actuarial Science, Data Science, Mathematical Sciences, and Mathematics & Computer Science, and offers graduate degrees in Pure Mathematics, Mathematics Education, Mathematics for Teaching, Applied Mathematics, and Applied Statistics.
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What we’re looking for: A Ph. D. degree in a relevant field, such as bioinformatics, computational biology, computer science, statistics, or a related discipline, with a strong background in data science, machine learning, and statistical analysis.
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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices is seeking a Data Engineer, Data Science to work closely with the team to construct and maintain technical platforms that efficiently collect, manage, and transform raw case data into actionable insights for legal teams and business analysts.
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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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