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Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R. Design, develop, and test ML applications using Python, Linux, Docker.
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Proficiency in master data management and data analytics tools and software (e.g., SQL, Python, R, Microsoft Azure, SAP, Tableau, Power BI). Utilize master data management (MDM) and data analytics tools and software (e.g., SQL, Python, R, SAP, Tableau, Power BI) to manage and analyze data.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Master's in Computer Science, Computer Information Systems, or Management Information Systems plus three years of experience in software development using Python, Alteryx, SQL, OTBI reporting, Oracle BI Publisher, Oracle Fast Formulas, HCM Extracts, SOAP, REST API services, Workday HCM Modules, Workday Studio, Enterprise Interface Builder (EIB), Workday Report Writer, AWS Application Integration, Tableau, Excel, and JIRA. Excellent communication (oral and written) skills are also required.
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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Understanding of Python, SQL, R, Scala. Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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Understanding of Python, SQL, Java, JavaScript, C# or C. Partner with business, product, and technology teams across the organization to evolve machine learning and data science capabilities within the bank.
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Major/Course of Study: Computer Science, Computer Engineering, Information Systems, Data Science, or similar degree of relevance. Coursework in Cyber Security, Networking, Information Systems, and/or Programming.
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Our Global Technology Summer Analyst Program is a 10-week internship that provides you with a unique experience based on your interests, development opportunities, and current business needs. Prior coursework and/or internship experience in project management and/or technology consulting.
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Responsible for delivering innovative capabilities in team environment, as well as leveraging skills, background, and interests for a specific group within Global Information Security. Provide analytical, strategic, and technical skills to design, develop, implement, and use state-of-the-art technology cybersecurity solutions aimed at reducing risk.
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Below you will find the job profiles/roles for the Global Technology Summer Analyst Program. Provide technical excellence to design, develop, and maintain state-of-the-art technology applications.
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Expert in Spark SQL, PySpark, (Python and/or R programming language) which includes experience in libraries such as Pandas, scikit-learn, R (tidyverse, glm, caret etc. ), MLFlow, Experimentation, Tracking, Productionizing and proficient in SQL.
$88,400 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Excellent programming knowledge and experience with cloud computing and command line expertise in R, SQL, Perl, Python and proficiency in Linux environment. Ph. D. in computational biology, bioinformatics, biostatistics, computer science, or similar discipline with 6+ years of experience in pharmaceutical R&D or M.S. with 12+ years of experience or B.S. with 14+ years of experience.
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Identifying and incorporating tools and techniques using technology applications (e.g. Microsoft SQL Server, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview.
$40.75 an hourFull-timeExpandApply NowActive JobUpdated 16 days ago
information technology python sql r jobs Title: scientist Company: Kunai
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