Key Responsibilities :
Analyze the customer base and build a strong customer segmentation framework to look at our customer base in a strategic manner
Leverage customer data to build churn models , propensity models etc. to increase the efficiency of our marketing spend working closely with the channel teams on campaign optimization
Leverage customer chat data for applications in text analytics such as sentiment analysis, NPS prediction, topic modelling etc.
Ability to translate advance analytics problems into a ML model (deep learning, decision trees, Random forest, GBM, Bayesian models, etc.)
Experience using machine learning libraries or platforms such as Tensorflow, Scikit-Learn, Spark ML, Python, SQL, Redshift, Knowledge of AWS environment.
Knowledge of MMM Modelling and MTA Modelling is good to have.
Experience in Retail, Ecommerce, Marketing advance analytics ML problems is must with deep understanding of one area.
Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quick.
Strong understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency.
Lead/Work with many global teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
Strong project management and communication skills . Excel / Power Point / Agile /Jira experience.
Most important - Passion for solving business problems with use of algorithms, analytics and technology.
Education
Bachelor's / Master’s Degree or Equivalent with 1-3 years of experience in Advanced Analytics roles with background in Computer science or statistics from Tier 1 / 2 colleges with strong academics.
