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Strong employer brand, generalist Data Scientist title, metro Hyderabad location, and unspecified experience boost applicant competition.
Prefers marketplace pricing/optimization experience, though core ML, forecasting and cloud skills remain transferable.
Requires specialized yield-optimization, forecasting, production ML, cloud and SQL skills, but no explicit years stated.
Drive yield optimization by improving existing models for consistency, performance, and forecasting accuracy.
Analyze historical trading data to develop actionable strategies and automate low risk decisions.
Own end-to-end data science projects including hypothesis generation, production deployment, and continuous improvement, collaborating with commercial and development teams.
Proven 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.
Experience with cloud platforms and scalable data operations (e.g., AWS, Redshift, Azure).
Work Experience Required: Not explicitly mentioned in the JD.
Experience working with cross-functional teams including commercial leaders and developers in 24x7 production environments.
Strong ability to translate complex statistical findings into actionable business strategies and communicate to non-technical stakeholders.
Background in forecasting and optimization techniques within discrete choice or similar environments.