Requirements

Advanced knowledge of experimental design and testing frameworks like A / B testing, Multi-armed Bandit testing etc. Bachelor's degree or four or more years of work experience. Three or more years of relevant work experience. Master's degree. Experience with Predictive / Prescriptive modeling. Advanced proficiency in SQL, Python ( / R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly / Streamlit etc). High proficiency with Microsoft Excel, PowerPoint, & Google Suite. Experience supporting large complex projects involving multiple work streams and stakeholders. Strong storytelling to drive recommendations based on the data analysis and articulate tradeoffs and communication plan to senior executives. Ability to translate complex ideas and express them in concise, simple to understand ways.

Job Description

To guide optimal decisions across various key base-management initiatives related to churn reduction, revenue growth and customer satisfaction. Build frame-works to enable effective measurement of experiments at scale. Research and build proof-of-concept models utilizing various machine learning techniques & traditional statistical techniques to drive optimal business decisions for various use cases like call-routing, revenue growth through initiatives like driving Walmart+ and other subscriptions. Develop Customer Segmentation Models and response rate models to help in effective targeting of customers across different base-management initiatives. KPI forecasting leveraging time-series forecasting techniques to guide the business on metrics like churn etc. Generate business insights by using various predictive modeling techniques. Synthesize predictive insights to concrete business actions and collaborate with teams across the value organization (Finance / Marketing / Operations / GTS / AI&D etc to drive successful business outcomes. Work on building either cloud-based predictive modeling solutions (AWS / GCP using Pyspark or similar tools) or general predictive solutions depending on the use case. Guide the build and enhancement of the Customer Data Platform with 360-degree view of customer and prospect profiles, interactions & demographics. Enable team with Analytical solutions to evaluate marketing campaign's effectiveness and identify areas for optimization. Measure key performance indicators (KPIs) such as conversion rates, return on investment (ROI), and customer engagement metrics. Provide insights to refine targeting strategies, messaging, and channel allocation for future campaigns. Partner with functional groups (Finance, Marketing, Operations, GTS, AI&D and others) to drive effective business decisions. Be recognized as a subject matter expert and participate in knowledge sharing sessions. Continually broaden and strengthen knowledge of analytical methods, vendors and tools.