Data Science:

Knowledge of experimental design and testing frameworks like A/B testing, Multi-armed Bandit

testing etc. 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.

Building Financial models leveraging Survival modeling and other machine learning techniques to

to drive effective decisions across all base-management initiative

Developing 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.Generating business insights by using various predictive modeling techniques.

Analytics & Data Enablement:

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.

Leverage understanding of customer behaviors, strategic thinking, strong financial acumen and

cross-functional aptitude to build analytical solutions to make the best-informed decisions.

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.

What we’re looking for:

You’ll need to have:

Bachelor’s degree or four or more years of work experience.

Four or more years of relevant work experience

Predictive / Prescriptive modeling experience.

Experience in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or

other libraries like Plotly/Streamlit etc).

Experience with Microsoft Excel and PowerPoint.

Experience managing 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.

Experience gathering, organizing and analyzing large amounts of information.

Experience presenting ideas and content to a variety of stakeholders at various levels.

Experience working collaboratively with a variety of stakeholders.

Even better if you have any one of the following:

Ability to translate complex ideas and express them in concise, simple to understand ways.

Ability to take initiative, influence others and achieve results.

Advanced research, analytical, and critical thinking skills with the ability to see things not readily

apparent to others and to find unique solutions to complex challenges.

Ability to present and interact with all levels of management.