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Senior Data Scientist

Bengaluru

3 - 6 years

INR 20.0 - 35.0 Lacs P.A.

Work from Office

Full Time

Job Title: Senior Data Scientist Intelligent Offer Management Location: Bangalore (3 days work from office) Type: Full-time(On-Site) Experience Level: 3–6 years About the Role: We are hiring a Data Scientist to lead and scale our Intelligent Offer Management engine – a key pillar of our revenue optimisation strategy. This role sits at the intersection of data science, pricing strategy, product thinking, and experimentation, enabling personalised, dynamic, and contextual offer decisions at scale. You'll work closely with product managers, business teams, and engineers to build models that recommend the right offer to the right customer at the right time. Key Responsibilities -Design and implement real-time offer recommendation models using historical purchase, engagement, and behavioural data. - Develop algorithms for dynamic pricing, offer personalisation, segmentation, and discount optimisation. - Collaborate with cross-functional stakeholders to translate business requirements into data science solutions. - Conduct A/B and multivariate experiments to evaluate offer performance and optimise offer strategies. - Build predictive models for conversion propensity, elasticity curves, and uplift measurement. - Package models for production deployment, ensuring scalability, performance, and monitoring. - Influence product design and customer journeys with data-driven insights. Must-Have Qualifications: - 3-6 years of experience in data science, quantitative analytics, or pricing strategy roles. - Proficiency in Python and SQL, with experience in building, validating, and deploying ML models. - Deep understanding of offer science, pricing elasticity, behavioural economics, and incentive systems. - Strong business acumen with the ability to balance accuracy with impact and speed. - Experience working with experimentation frameworks and statistical inference. - Ability to communicate complex insights effectively to both technical and non-technical stakeholders.

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