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Working knowledge and experience using one of statistical computer languages (R, Python, SQL, Stata, etc.) Other Qualifications: Master’s degree in computer science, information systems, data science, analytics, statistics, economics, public health, biostatistics, epidemiology, social science, mathematics, or relevant field preferred.
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Bachelor's degree in Computer or Data Science, Econometrics, Statistics, Applied Mathematics, or related field. Proficiency in data manipulation and analysis tools such as SQL, Python, R, or similar programming languages.
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Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Engineering Management, or a closely related field plus 3 years of experience in job offered or data science analyst.
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Experience in executing data science methodologies using common programming languages, such as Python, R, SAS, VBA, or Scala; Computer Science and Engineering, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
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Bachelor's degree in a relevant field (e.g., Statistics, Data Science, Economics, Computer Science)Strong proficiency in data visualization tools (e.g., Tableau, Power BI) and data analysis tools (e.g., Python, R)Excellent SQL skills for data extraction and manipulationStrong analytical and problem-solving skillsStrong technical skills to automate data pipelines for building dashboardsAbility to work effectively in a cross-functional team environment.
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NET, MS Access, Oracle, SQL Server, Sybase, PL/SQL, SQL, TSQL, SSIS, SSRS, Tableau, TOAD, ERWIN, Data Modeling, Data Quality, Data Governance, Data Visualization, Java, HTML, SAS, R, Python, and other statistical/financial analysis tools and Graphical/presentation design tools, and the Internet in a Windows and UNIX environment.
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Minimum qualifications: Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.
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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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This role collaborates with researchers and data scientists from various fields including Applied Analytics, Bioinformatics, Biotechnology, Computer Science, Cybersecurity, Genomics, Health Data Analytics, Law & ethics, Neuroscience and Therapeutics discovery.
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Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field.
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Skilled in data manipulation with SQL, Python, R, or other programming languages/tools. Bachelor's degree or above in Math, Statistics, or Computer Science, Operation Research, Supply Chain management related major.
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Utilize data science tools and statistical programming languages (such as R, SQL, and Python) Candidate must possess an Associate degree in Mathematics, statistics, computer science, data science or field directly related to this position with 3+ years of relevant experience or a High School diploma with 6+ years of relevant experience in a related discipline; 1+ of those years should be with hands-on experience in data exploration, data cleaning, data analysis, data visualization and data mining.
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Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology.
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We are turning "science fiction" into everyday reality through technologies such as superconducting, 3D integrated circuits or computer chips, carbon nanotubes, photonic logic devices, micro electro-mechanical systems and other emerging device topologies.
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We are seeking a highly skilled and experienced Data Science Lead Analyst to join our Intelligent Automation team. Proficiency in programing languages such as Python, R, or Scala, and familiarity with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, or spark.
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computer science data python r jobs Title: data analyst in Niles, Illinois
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