• Experience working with data mining models, structures, theories, principles, and practices, including machine learning, statistics, and text mining techniques.
• Experience with at least one data mining / statistical analysis tools such as R, python, or SAS.
• Experience with business intelligence and data mining tools such as Business Objects, MicroStrategy, Tableau, Qlickview, and SAS Enterprise Guide/Miner in a corporate or academic environment.
• Experience with SQL queries of large databases such as Oracle, DB2, SQL Server, Teradata, and Hadoop.
• Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as R, python, SAS, SPSS, S, S-PLUS, or Stata.
• Experience in programming languages such as Python, Java, or C
in a data mining context, and experience building web-based applications or dashboards using R, python, HTML, CSS, Perl, and JavaScript.
• Experience with Microsoft Word, PowerPoint, and Excel.
• Experience in similar or directly related functions; preferably in financial services, retail, healthcare, telecommunications, entertainment, or other industries with strong direct marketing, digital marketing, risk management, or experimental design practices.
• Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels.
• Progressive thinker and problem solver, with a strong ability to manage ambiguity/complexity.
• Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
• Experience working in a consumer-centric company and with teams of technical professionalism a cross-functional environment.
Skills
N/A
Job Type
N/A