3-6 years of experience in data science, or attribution modelling. hands-on experience with Python, SQL, and relevant data science libraries. Knowledge of MTA techniques such as logistic regression, Shapley values, Markov chains, or time decay.
Responsibilities: * Lead data science initiatives for retail clients * Develop churn models using SQL and statistical modeling techniques * Collaborate with cross-functional teams on machine learning projects
Responsibilities: * Develop digital marketing strategies using Google Analytics and Adobe Analytics. * Optimize conversions through advanced SQL queries and banking sector expertise.
We're looking for a Senior Data Scientist who can drive value through: 1. Churn Prediction and Retention Modelling 2. Customer Behaviour Analytics 3. Machine Learning Pipelines 4. Feature Engineering 5. Python, Machine Learning, Data Visualization
Responsibilities: Optimize retail operations through churn prediction & mitigation strategies Develop machine learning models using Python & SQL