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Strong global brand, metro location, mid-level generalist data role, and broad skill requirements increase applicant competition.
Highly domain-specific pricing and forecasting expertise limits transferability across industries.
Requires specific yield/pricing optimisation experience plus mandatory statistical and tooling skills.
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Optimize and improve yield optimization and matching models focusing on consistency, performance, and forecasting accuracy.
Analyze historical trading data to identify patterns and develop actionable strategies for enhanced trading performance and decision automation.
Own end-to-end data science projects from hypothesis to production deployment, collaborating with commercial and development teams to integrate data-driven improvements.
Experience in yield or pricing optimization in large online marketplaces or similar industries.
Proficiency in statistical programming languages such as Python or R and advanced statistical techniques.
Familiarity with forecasting and optimization techniques in discrete choice environments.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrated ability to apply advanced statistical techniques and programming for production-scale, 24x7 operations in yield optimization.
Experience working cross-functionally with commercial stakeholders and developers to translate data insights into operational workflows.
Strong skills in communicating complex statistical findings to non-technical audiences using tools like PowerBI and SQL.