Job Description

Experience

• You have strong primary expertise as data scientist, with the ability to stretch beyond one’s core field of expertise

• You have PhD or MTech at least 5+ years of *relevant experience* as a strong contributor on a data science team

• You have a relevant degree in Statistics, Math/Applied Math, Operations Research, Computer Science, Economics or Quantitative Finance

• You have expertise in at least one analytics function: attribution, segmentation, response modeling, churn, propensity, customer LTV, supply chain/logistics, geospatial inference, recommender systems, causal inference, forecasting, pricing, NLP or image/speech processing.

• You are proficient in R/Python, particularly to prototype mathematical models

• You know SQL and are familiar working with at least one of the tools - Tableau, R-Shiny/or other data visualization tools

• You are able to scope and define data sets needed for specific use cases and identifying data gaps

• You are able to translate scientific insights into product decisions and work streams

• You have good communication skills

• You can manage customers – ability to lead and persuade, positive energy, relentless focus on business impact

 Must Have Skills

• Python

• Sklearn / Scikit

• NLP

• Jupyter

• Pandas

• Numpy

• Matplotlib

 Good to have Skills

• R Language

• Tensorflow / Keras

• Caffe

• Pytorch

• OpenCV

• Tableau