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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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About The Manager - Risk Finance Data Science Role. The primary responsibility of the team is to leverage data, latest tools, and advanced techniques to innovate and help the organization make sound forecasts of the company’s Billed Business and Loan amounts for all of AXP in the context of the annual Comprehensive Capital Analysis and Review (CCAR) exercise.
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Experience in executing data science methodologies using common programming languages, such as Python, R, SAS, VBA, or Scala; If your background is in Computer Science and Engineering, Data Analytics, Statistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Exciting Opportunity at MSK: Postdoctoral Fellow in Computational Genomics and Cancer Data Science. We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
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A Senior Research Scientist that specializes in organ transplantation and social behavioral science, chronic disease will work mostly with primary data collected through large multi-site studies and clinical trials in support of NIH and DoD funded research.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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We are looking for an experienced data scientist with a strong background in LLM and Generative AI. The data scientist will develop advanced data science solutions using LLM to enhance various aspects of their business, such as underwriting, claims, and customer service.
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Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes. + Foster collaboration with other teams to ensure seamless integration of data science initiatives across the organization's infrastructure, promoting efficiency and effectiveness in leveraging data for informed decision-making.
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Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Demonstrated ability to lead and execute data science projects with minimal supervision.
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Preferred Qualifications- Previous experience or advanced coursework in data science, algorithmic engineering, or machine learning. Furthermore, you will work cross-functionally with Strategy, Programs, Commercials, Analytics, Data Science, and Sales Operations.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB. Bachelors or Master's degree in Data Analytics, machine learning, Computer science, artificial intelligence, statistics, data science or related discipline.
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data science jobs Company: Elsevier in New York, Amarillo, Texas
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