Data Scientist
On-siteHyderabad, Telangana, India
Job Summary
Optimize existing yield and matching models to improve consistency, performance, and forecasting accuracy by analyzing historical trading data. Develop actionable strategies based on statistical analyses to enhance trading performance through granular data and automated low-risk decisions. Collaborate with developers and commercial leaders to integrate data-driven improvements into operational workflows while owning the end-to-end lifecycle of data science projects. Drive innovation in 24x7x365 production using advanced statistical techniques and programming expertise to assist stakeholders in scenario planning. Join the Profiles division within Kantar, leveraging insights from over 170 million people to shape brands globally.
Required Qualifications
- Deep expertise in data science technologies, including statistical programming languages (Python, R), advanced statistical techniques, and data manipulation tools
- Proven experience in yield or pricing optimization within large online marketplaces, such as research, insurance, online travel, programmatic media, or similar industries
- Understanding of forecasting and optimisation techniques in discrete choice environments
- Knowledge of web services and cloud platforms (e.g., AWS, Redshift, Azure) for scalable data operation and integration
- Ability to translate complex statistical findings into actionable strategies, leveraging tools like PowerBI and SQL for impactful presentations to cross-functional teams
- Right to work in the country where the role is located (Hyderabad, India)
Desired Qualifications
- Strong problem-solving skills with a focus on agile and iterative product development, enabling innovative solutions to complex data challenges
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