Key Responsibilities
Lead a small team of data scientists to deliver value on a large scale program
Perform statistical inference on large data sets to inform decisions and drive actions
Articulate factors impacting model performance for internal and external stakeholders
Build predictive models to optimize agent and customer interactions
Develop processes to monitor and analyze model performance
Qualifications
Master’s or Ph.D. in Computer Science, Math, Economics, Physics, Engineering or related quantitative field
4-6 years of experience in developing and deploying machine learning models to drive business impact
Programming experience in one or more of the following languages i.e. R, Python, Julia
Excellent interpersonal and communication skills including proven ability to collaborate across functions, levels, and disciplines
Solid grasp of applied machine learning and statistical modeling
Able to travel locally/abroad for working sessions and meetings
Salary & Package
We offer competitive base salary dependent on the number of years of experience along with corporate benefits.