Data Scientist

KEY RESPONSIBILITIES :

• Develop, validate, and deploy predictive, prescriptive, and scoring models to power product features and business decisions.
• Partner with the product management and data engineering teams to design and implement algorithms that directly impact customer experience and business growth.
• Drive feature engineering, model selection, and performance evaluation across diverse modeling use cases (scoring, forecasting, optimization, segmentation, simulation, NLP, etc.).
• Make analytical and technical decisions on modeling trade-offs (accuracy, interpretability, scalability).
• Ensure models are production-grade, explainable, monitored, and continuously improved as data and market conditions evolve.
• Stay up to date with emerging ML / AI techniques and proactively evaluate their applicability to business use cases.

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DESIRED SKILLS :

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