Data Scientist

CA Technologies (NASDAQ: CA) helps customers succeed in a future where every business— from apparel to energy— is being rewritten by software. With CA software at the center of their IT strategy, organizations can leverage the technology that changes the way we live— from the data center to the mobile device.

You will solve large-scale complex problems while helping set product direction as a member of a team that focuses on the application of data mining/machine learning techniques on large data sets for various customer and internal projects. Duties for this position will also include analyzing data of all forms and sizes; building analytical models to solve complex business problems across various domains, researching and evaluating new algorithms and technologies and presenting solutions and/or findings to internal and external teams.

• Execute on data-intensive analytical projects as a member of the team
• Set up data analysis environments to ensure reliable backups and integrity
• Keep analytical computing / predictive modeling / data analysis skills current
• Deliver on projects for timely conclusion
• Create reports and charts to communicate data analysis results to the customer

• Strong scientific-computational skills with an ability to think about problems differently; investigating new techniques and technologies to solve a problem
• Extensive experience specifying and building advanced analytics
• Ability to think in statistical and probabilistic terms
• Extensive experience with statistical and machine learning offerings in one or more of the following (SAS, R, Mahout, Matlab, Python, Octave, etc.)
• Familiarity with UNIX and at least one major programming language such as C, C++, Java, or SAS
• Experience working with large data sets within distributed computing environments (Map/Reduce, Hadoop, Hive, etc.)
• Excellent programming skills with knowledge of multiple operating systems, scripting languages, and the ability to deal with very large volumes of data
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner with excellent interpersonal, written, and verbal communication skills
• Ability to think analytically, write and edit technical material, and relate statistical concepts and applications to various audiences
• Ability to work independently and within a team environment
• PhD or Master’s level degree in Computer Science, Statistics, Mathematics, Engineering or Physical Sciences