Vacancy caducado!
Minimum Education and Experience Requirements:
- Master’s degree with emphasis on coursework of a quantitative nature (e.g., Statistics,Computer Science, Engineering, Mathematics, Physics, Data Science, Industrial/Organizational Psychology and Econometrics, etc.) and 4 years of experience working in a data analytical or computer programming function
- Experience in quantitative analytics (e.g., data mining, regression analysis, hypothesis testing, A/B testing, machine learning modeling, including multivariate statistical analysis, natural language processing, unsupervised and supervised learning, deep learning, and predictive modeling, and model optimization in production)
- Intermediate- to advanced-level knowledge and skills in data modeling, data structure, and the application of complex SQL queries with data from multiple sources, including a Big Data platform (e.g., Hadoop, AWS, Azure)
- Proficient programming skills such as SQL, C/C/C#, Java, R, Python, PHP, or SAS
- Have in-depth experience developing models in a Big Data cloud environment (Azure, AWS, Google Cloud Platform) and deploying and overseeing models running in production
- Adept at leveraging the Microsoft Azure platform and its AI and machine learning tools (Databricks, Data Factory, ML Studio, etc.)
- Intermediate-level skills and experience with data mining and statistical analysis using analytical packages / tools (e.g., R, SAS, SPSS, Stata, MATLAB, Minitab, etc.)
- Intermediate- to advanced-level skills and experience in articulating business questions, pulling data from relational databases (e.g., SAP Business Warehouse (BW), ORACLE, SQL SERVER) and using advanced excel and statistical tools (e.g., Minitab, Alteryx, Advanced Excel with VBA, R, SAS, SPSS, Stata, MATLAB, etc.), and determining the appropriate analytical approach to conduct in-depth analysis to support decision making
- Adept with multiple business intelligence tools and platforms (e.g., SAP Business Objects, Microsoft Power BI.)
Vacancy caducado!