Description

About this role:

The Service’s Data Science team innovates the way towards helping clients receive value, so technology leaders will be able to make smarter decisions in a different way. This team works  on delivering valuable insights from unstructured data, developing statistical and machine learning based methods to build, measure and improve client engagement & retention

What you’ll do: 

Drive retention and growth by empowering service delivery groups and sales in some of our key initiatives

Derive key insights utilizing unsupervised machine learning based on hundreds of pages of unstructured data from several sources

Build statistical models to predict retention probabilities dynamically for a given client and help Service Delivery leverage the data insights

Prioritize what clients our Service Delivery associates should talk to and what Gartner asset they should recommend converting an unengaged client to an engaged one.

Analyze surveys and correlation between survey responses and client engagement in a meaningful way to result in actionable insights

Meaningful extraction of key client priorities using text analytics

What you’ll need:

Bachelor’s or Masters’ degree in Physics, Math, Technology, Computer Science or related branches

2 - 4 years in Data Science using Machine Learning and NLP techniques

Knowledge of R or Python needed to be able to code the models

Well versed with Statistical and advanced modelling techniques

Ability to work on projects that involve ML & statistical techniques with large volume of data

What you will get:

Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!

Collaborative, team-oriented culture that embraces diversity

Professional development and unlimited growth opportunities