Analytics and Data Science Lead

Job Title: Analytics and Data Science Lead Company: Scapia Job Category: Data Science Roles & Responsibilities: Scope of the Role • Build and maintain a view of competitive share of wallet, and how Scapia can grow its share of customer spend • App churn and retention modeling: shift focus from growth to retention as usage signals decline, using inactivity and usage-pattern data to predict churn propensity • Manages senior stakeholders well, through crisp, impact-led communication • Familiarity with modern data stacks (dbt, Airflow, Snowflake/BigQuery/Redshift, or similar) Work Location: Bengaluru, Karnataka, India Availability: Full time

• Experience: 2-3 years in analytics / data science experience and P&L • 2-3 years of experience in analytics, data science, or a closely related quantitative field, with demonstrated readiness to • Experience designing and analyzing experiments (A/B tests, uplift models) and distinguishing correlation from causal impact • Strong SQL skills and hands-on experience with Python/R for building predictive models (churn, LTV, propensity, • Experience with experimentation/feature-flagging platforms Key Skills: Data Science, Python, SQL Salary: Not disclosed