You will take end-to-end responsibility for high-impact ML initiatives (e.g., pricing optimization, bid prediction, performance forecasting, delivery optimization) and translate complex business problems into robust, production-grade machine learning systems.
This is a senior individual contributor role with leadership potential. You will help shape our ML architecture, standards, and long-term AI strategy, with the opportunity to grow into a team lead role as we expand our data science capabilities.
What You’ll Do
- Take ownership of machine learning problems from concept to production
- Design, build, and deploy predictive models (e.g. pricing, bidding, optimization, forecasting)
- Develop scalable feature engineering and data pipelines for large-scale datasets
- Define experimentation frameworks (A/B testing, offline validation, model comparison)
- Ensure production-grade MLOps: monitoring, retraining, drift detection, reliability
- Collaborate closely with DevOps, Product, Engineering teams to align ML with business impact
- Quantify model impact on revenue, margin, and performance KPIs
- Contribute to building our long-term ML architecture and best practices