1-3 years of experience in similar data science roles
Experience with SAS / Python / any other relevant statistical modeling, large dataset handling languages
Experience with Tableau or any other visualization tools
Ph.D. or Master's in mathematics, Applied Statistics, Actuarial Science, Computer Science, or any other related computational/quantitative discipline will be good
Deep knowledge of linear and non-linear regression modeling, model validation signals analysis, and time series analyses
Industry familiarity with credit models, customer lifecycle and value maximization models, machine learning algorithms, and NLP is a plus
Advanced SQL expertise, ability to write complex queries spanning over multiple databases and foreign keys, based on a simple high-level brief
Excellent communication and presentation skills, able to clearly and effectively communicate complex analytical and technical content
Problem hunter (and solver of course), looking for issues that can be solved with data by analyzing root causes, developing hypotheses, and testing regularly to prove mitigation or resolution
Experience in hiring, training, and mentoring a data science team to maximize the team’s potential to deliver business objectives