Senior Data Scientist – Causal Inference & Measurement

Workster is partnering with a leading global mobility company to find a skilled and motivated Data Science and Causal Inference Expert to join their team. Help shape next-generation pricing strategies and measure the causal impact of their initiatives using state-of-the-art causal inference methods. Your work will optimize pricing decisions for millions of customers and ensure strategies are grounded in scientifically-valid findings.

Your Role

• Revenue Management & Causal Measurement : Design, develop, and implement sophisticated measurement frameworks that focus on the causal impact of price optimization strategies.
• Causal Inference Modeling : Apply advanced causal inference techniques to guide business decisions and strategy developments in revenue management.
• Experiment Design & Analysis : Develop and refine experimental designs using techniques such as Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), synthetic control methods, A / B tests, and Double Machine Learning to measure effectiveness and inform policy decisions.
• Algorithm & Tool Development : Build and maintain robust algorithms that integrate seamlessly with production systems, ensuring accuracy and scalability in causal estimation.
• Cross-Functional Collaboration : Work closely with product managers, data engineers, and software developers to deploy end-to-end solutions that leverage causal insights to drive business decisions.
• Thought Leadership : Stay up to date on the latest research in causal inference and measurement, while mentoring and guiding junior team members.

Your Qualifications

The Offer