Infofaces Hiring Senior Data Scientist

Roles and Responsibilities

  • Hands on in providing Simulations, Data Analyses & Visualizations with the R package.
  • Assist in designing and development of technical architecture, requirements and statistical models
  • Coordinate with end users for designing and implementation of analytics’ solutions as per project proposals
  • Prepare scripts to ensure accurate Data access, manipulation and reporting functions with R programming languages
  • Formulate procedures for integration of R programming plans with data sources and delivery systems.

Skill Set Required

  • Good working knowledge of an analysis tool such as R Package.
  • Sound experience in solving analytical problems using quantitative approaches / machine learning methods
  • Good track record of using advanced statistical methods, information retrieval, data mining techniques
  • Comfort manipulating and analyzing complex, high-volume, high-dimensional data from varying sources
  • A strong passion for empirical research and for answering hard questions with data
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Familiarity with relational databases and SQL will be an advantage
  • Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, HBase, etc.) will be preferred but not required.
  • Very good understanding of Predictive modeling techniques and their application.
  • Statistics and machine learning techniques.
  • Conducted and applied statistical methodologies including linear regression, logistic regression, cluster analysis
    Team player and collaboration skills.
  • Programming skills in R Package.
  • Fluency with Excel, PowerPoint and Word
  • Strong written and oral presentation / communication skills.