Data Scientist

Responsibilities:

• Proven track record of leading and collaborating on advanced analytics strategic initiatives; Proven track record of operationalization of analytic models in collaboration with marketing/risk and IT teams
• Worked with large, unfiltered data sets or data science research
• Has Knowledge of both structured and unstructured data
• Scripting or programming experience: familiarity in programming languages with relational databases (e.g. Python, Java, Ruby, Clojure, Matlab, Pig, SQL);
• Statistical Analysis: advanced usage of off-the-shelf tools such as R, SAS, SPSS, Weka and other analytical tools or software
• Big Data: Experience with Big data tools such as HDFS, Cassandra, Storm
• Database knowledge: skilled in structured database
• Familiar with most of the following disciplines:
• Conceptual modeling: to be able to share and articulate modeling;
• Predictive modeling: most of the big data problems are towards being able to predict future outcomes;
• Hypothesis testing: being able to develop hypothesis and test them with careful experiments;
• Natural Language Processing: the interactions between computer and humans;
• Machine learning: using computers to improve as well as develop algorithms;
• Statistical analysis: to understand and work around possible limitations in models.
• Degree in quantitative discipline such as Statistics, mathematics, Operations Research, Engineering, Computer Science, Econometrics or Information Science such as Business Analytics or Informatics