Back
Generalist data scientist in metro with unspecified experience and broad skills, leading to high competition.
Strong domain bias toward yield/pricing optimization and discrete-choice forecasting, limiting cross-industry transferability.
Specialized yield-optimization and tool requirements without explicit years, causing medium strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Optimize and improve yield and matching models for consistency and forecasting accuracy in a 24x7 production environment.
Analyze historical trading data to identify patterns and devise data-driven strategies to enhance commercial decisions and automate low-risk actions.
Own end-to-end data science projects including production deployment, continuous improvement, and presenting technical insights to non-technical stakeholders.
Experience required in yield or pricing optimization within large online marketplaces (e.g., research, insurance, online travel, programmatic media).
Proficiency in data science technologies including Python or R, advanced statistical techniques, and data manipulation tools.
Knowledge of forecasting and optimization in discrete choice environments and cloud/data platforms like AWS and Redshift.
Work Experience Required: Not explicitly mentioned in the JD. Location requirement: Hyderabad, India; candidates must have the right to work in India.
Experienced in applying advanced statistical and programming expertise to yield optimization in operational 24x7 production settings.
Skilled at translating complex statistical analyses into actionable business strategies and communicating technical findings to cross-functional and commercial teams.
Familiar with scalable data operations on cloud platforms and iterative product development in fast-paced, data-driven environments.