Dun & BradStreet – R Programmer – NJ or Remote

Position Responsibility:

As a member of Data Engineering team your responsibilities will include:

1. Work closely with Global Analytics and Content Innovation teams to envision and implements analytics products and data insights for complex experiments
2. Directly responsible for influencing architecture and design of a platform for the near real-time calculation and delivery of semi-custom predictive analytics.
3. Develop solutions and implementation of R code to form part of a distributed application (such as a web-application created in Java)
4. Work in heterogeneous environment of multiple platforms in multiple languages. (SAS, Mainframe (JCL, Cobol, SAS, etc.), Open Source (R, ScaleRPython, etc.), SQL, HQL, Unix/Linux)
5. Provide stewardship and best practices for data wrangling and analysis of structured and unstructured data
6. Collaborate with software engineers, ML experts, and business teams
7. Work in cross functional agile teams to regularly experiment, iterate, and deliver on new data product objectives

Position Requirements:

• Bachelor’s degree or higher required in Computer Science, applied quantitative field (math/statistics, engineering) is a plus
• At least 3 years of relevant experience in a software development environment

• Expert knowledge of R programming including full lifecycle from design to production deployment and maintenance of R based applications. Revolution ScaleR and Shiny is a plus.

• Experience with best practices for scalability and performance of distributed data processing solutions
• Hands-on experience in Java and at least one scripting language (Python, Perl, etc.)
• Well versed in Linux

• Proven experience solving analytical problems using quantitative approaches using machine learning methods

• Demonstrated expertise with software architecture & design, data structures and algorithms

• Strong analytical skills and comfort with common statistical techniques
• Data-drive with high level of creativity, curiosity, and free thinking

• Organized, thorough, and detail oriented as working with multiple datasets across multiple time periods with different units of analysis requires attention to detail

• Quick learner who can master and manage multiple projects simultaneously with minimal supervision and a flexible positive attitude
• Strong written and oral communication skills; must be able to clearly explain design considerations, options, and trade-offs

Posted on Programmingr.com

Contact: BergerS@DNB.com