Description

You will apply statistical and machine learning methods to solve business problems within a corporate environment.

Responsibilities

• Develop and apply statistical or machine learning models using R, Python, or SAS.
• Execute data mining tasks using Java or C++ in a production context.
• Build web-based applications using HTML, CSS, Perl, and JavaScript.
• Design and implement A/B tests, including sample size establishment and statistical significance measurement.
• Manage and query large database applications to support analytics workflows.

Required Skills

• 5+ years of experience in analytics or data science.
• Proficiency in SQL programming and large databases such as Oracle, DB2, SQL Server, SPSS, Teradata, or Hadoop.
• Extensive programming experience with R or Python.
• Experience with Tableau and Tableau Server for business intelligence.
• Knowledge of web analytics tools including Adobe Analytics, Google Analytics, IBM Digital Analytics, or Webtrends.
• Hands-on experience with A/B testing tools like Optimizely or Adobe Target.
• Working knowledge of HTML, CSS, Perl, and JavaScript.
• Master's degree in Computer Science, Statistics, Operations Research, Applied Mathematics, Engineering, or a related STEM field, or a Bachelor's degree with relevant experience.

Key Skills

Education

Any Graduate