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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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If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey! 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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Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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Collaborate across multidisciplinary teams—Compliance, Data Science, Model Risk Management, Data Governance, and Human Resources. This position reports to the Head of Fair Lending and works closely with the Head of Data Science, Fair Lending Compliance, and Model Risk Management to establish and lead a comprehensive and robust Fair Lending Analytics function.
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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 Baccalaureate degree from an accredited college in Criminal Justice, Criminology, Sociology, Statistics, Mathematics, Computer Science, Operations Research or a closely related field; and one year of satisfactory full-time experience in the analysis and/or research of data related to crime, criminals, criminal intelligence, and/or other social sciences in a police, judicial, or other criminal justice setting; or 2.
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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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Ph. D. in Biological Sciences, Genetics, Statistics, Biostatistics, Computational Biology, Bioinformatics, Computer Science, Epidemiology, or equivalent; Specifically, they will co-analyze common, rare, and structural variants from whole-genome sequence data and detailed phenotypic (questionnaire, clinical, and imaging) data using novel and scalable methods in statistical genetics and machine learning to understand the pathogenesis of brain disorders.
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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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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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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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Preferred Qualifications- Previous experience or advanced coursework in data science, algorithmic engineering, or machine learning. - Basic experience with versioning software such as Git.- Working knowledge of data visualization software such as Tableau, Looker, or Domo.- Fundamental knowledge of statistics with some hands-on experience in A/B testing, regression analysis, and ANOVA testing.
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Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Experience and comfort in working with data from globally-trusted third-party sources like the UN, IMF, OECD, and World Bank.
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data science in jobs Title: production designer in New York, NY
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