Required Skills: R, R-shiny, Advanced Data Analysis, Data Engineering, SQLServer ,Oracle ,Impal ,Python

Job Description

R Shiny Data Scientist:

Qualifications
Bachelor s in Engineering, Computer Science, Science or Data Science.
R Shiny developer skills as a core competency.
2+ years experience working developing data analytics applications using R
Prior experience in Statistics or Data Science.
Programming knowledge in a scripting language in R is required for data manipulation and analysis.
Familiarity with testing procedures such as PQ/OQ, source data verification, UATs and unit testing is desirable.
Detail-oriented, highly organized, and able to manage multiple tasks.
Can work individually (independently) as well as on a team.
Have strong oral and written communication skills.
Additional technical competencies in Jira, Bitbucket, and other information technology systems are highly desirable.

Highly Desirable Skills:
R and R-Shiny
Advanced Data Analysis Techniques

Desirable Skills
Database skills Be comfortable querying a variety of database systems, SQLServer, Oracle, Impala.
Data Engineering Be comfortable joining tables from different source systems, creating unions and parsing data
Report development using R
Knowledge of statistics
The competencies requirements include:
An R-Shiny developer is required with the ability to prioritize work independently to meet deadlines while managing changing priorities to meet customer s needs. Work independently on projects that will be both strategic and tactical in nature. Ability to provide strategic direction using innovation and creative solutions. Use effective internal/external influencing, interpersonal skills, negotiation, and conflict management skills to resolve relationship and project issues.