jobs in the wild.

If you are tired of building dashboards that nobody looks at and want to encode rigorous financial logic and predictive forecasting directly into product infrastructure, this seat is for you. We are hiring a Quantitative Leader (Commercial Intelligence Engine) to sit at the exact intersection of finance, data science, and product engineering. What you'll actually do: Own the Engine: Build 12-month growth forecasts, brand-level P&Ls, and automated variance calibration models from scratch. Productize Models: Translate sophisticated statistical models into production-ready product logic and specify AI agent workflows. Drive Decisions: Design every model backwards from real commercial decisions—sizing uncertainty and managing sparse inputs like a pro. What this seat is NOT: Just another BI/reporting role (dashboards are a downstream afterthought here). Academic modelling without real-world action. Managing core data pipelines (you specify the schema; engineering brings it to life). The Profile: 6–8+ years in growth, marketing, or product analytics (DTC, e-commerce, or marketplaces).Proven ownership of high-stakes forecasting, MMM, or unit-economics models.Deep fluency in DTC unit economics (CAC, LTV, contribution margins, payback).Hands-on daily fluency in SQL and Python. Location: Bangalore.  Drop a comment below; DM me directly.