About the Role

The APAC Data Science Ops team assists APAC Operations teams in addressing questions and resolving problems by employing data-driven methods and models. Our team is dedicated to supporting these teams by leveraging experimentation and quasi-experimentation to analyze the impact and outcomes of our actions. We also utilize modeling techniques to predict and optimize unresolved business challenges. Collaborating closely with the operations teams who implement these decisions, we engage in projects spanning from developing pricing models to assessing the impact of recent product launches.

You will explore opportunities across a range of topics. This includes designing and executing experiments within the Uber marketplace and developing ML models for product launches. Additionally, you will work on Market Health models, Causal Inference models, and Optimization models for pricing or investment challenges, among other problems and techniques.

Reporting to the Head of BizOps in Central Operations, this person will be responsible for:
1. Experimentation,



including designing and executing experiments to test / answer specific business questions, or to support launch and roll out plans of new products or features
2. Causal Inference: using inference techniques to evaluate actions and policies, particularly in cases where experimentation is not an option.
3. Modeling, including building or validating existing optimization and predictive ML models.
4. Opportunity identification, qualification & prioritization; Orchestrating the focus of quantitative resources to maximize the impact for Uber Mobility APAC
5. Stakeholder Management; build strong relationships with teams in both central and local operations, to help identify, shape, execute and evaluate business opportunities underpinned by advanced quantitative methods
6. Technical Leadership; role-modeling and communicating our vision for the role that science-based decision taking plays in driving value at Uber

📌 Apac Data Scientist Ii, Ops (Gurugram)
🏢 Uber
📍 Gurugram