Engineering III Consultant - Data Science

About the role

As an Engineering III Consultant - Data Science at Verizon, you will drive data science and analytics initiatives across the company's prepaid and wireless brand portfolio, including Total by Verizon, Verizon Prepaid, Straight Talk, TracFone, Walmart Family Mobile, Visible, Simple Mobile, and SafeLink. Day-to-day, you will design and run experiments (A/B testing, multi-armed bandits), build predictive and prescriptive models (survival modeling, customer segmentation, response-rate, KPI time-series forecasting), develop financial models, and enable analytics through cloud-based solutions (AWS/GCP, PySpark) and a 360-degree Customer Data Platform. You will synthesize insights into business actions, collaborate with Finance, Marketing, Operations, GTS, and AI&D teams, and present recommendations to senior executives. This hybrid role is based in Chennai or Hyderabad, India, with a defined mix of work-from-home and assigned office days.

What you’ll do

• Apply experimental design and testing frameworks (A/B testing, Multi-armed Bandit testing) to guide decisions across churn reduction, revenue growth, and customer satisfaction initiatives, and build f
• Research and build proof-of-concept models using machine learning and traditional statistical techniques for use cases such as call-routing and revenue growth initiatives (e.g., driving Walmart+ and o
• Build financial models leveraging Survival modeling and other machine learning techniques to drive decisions across base-management initiatives.
• Develop Customer Segmentation Models and response rate models to support effective targeting across base-management initiatives.
• Perform KPI forecasting using time-series forecasting techniques to guide business metrics such as churn.
• Generate business insights using various predictive modeling techniques.
• Synthesize predictive insights into concrete business actions and collaborate with cross-functional teams (Finance, Marketing, Operations, GTS, AI&D) to drive successful outcomes.
• Build cloud-based or general predictive modeling solutions (AWS/GCP using PySpark or similar tools), guide the enhancement of the Customer Data Platform for a 360-degree view of customers and prospect

What you’ll bring

• 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 (or R), and data visualization tools (Tableau, Qlik, or native Python libraries like Plotly/Streamlit).
• Experience with Microsoft Excel and PowerPoint.
• Experience managing large complex projects involving multiple work streams and stakeholders.
• Strong storytelling to drive recommendations based on data analysis and articulate tradeoffs and communication plans to senior executives.
• Experience gathering, organizing, and analyzing large amounts of information, and presenting ideas to a variety of stakeholders at various levels.

Skills

Education

Bachelor's degree or four or more years of work experience