Senior Data Scientist - Pricing

Job summary

Responsibilities

As part of the Bureau of Technology, you’ll design, build, and scale AI-driven solutions to improve our marketplace. You’ll join the Pricing & Quality team (a mix of data scientists and backend engineers) focused on curating offers to give customers the best value for money.

• Drive pricing intelligence: design and implement Machine Learning models and optimization algorithms that directly fuel a comprehensive suite of pricing levers
• Own projects end to end: from problem definition and metrics design, through data extraction and model implementation, to presenting results to business and product stakeholders.
• Collaborate with data scientists and backend engineers to translate models into production-ready features
• Design and analyze experiments to measure the impact of fee strategies or model changes.
• Leverage statistical analyses to uncover actionable insights and inform critical tech, business and product decisions

What they're looking for

• At least 5 years of industry experience as a data scientist and Master’s (or PhD ) in a quantitative discipline such as Statistics, Economics or Engineering
• Impact-driven: You’ve contributed to data science projects that made a real impact on live, customer-facing products — not just in theory, but in production.
• Comfortable with ambiguity: you are able to make decisions and propose directions even when the problem is not fully defined or the data is imperfect
• Strong grasp of machine learning and statistical concepts and know how to choose the right model for the problem and make it work in a production environment.
• Practical expertise in experimentation design and analysis.

Tech stack

• Python
• SQL