Education:

Bachelors or Masters degree in computer science, Software Engineering, or a related technical discipline.

Equivalent practical experience will be considered for exceptional Candidates with a strong track record of delivery.

Skills and Experience:

- Visionary mindset with the ability to translate ideas into actionable strategies.

- Strong collaboration skills, partnering with segments' representatives, external technology vendors and suppliers.

- Strong storytelling and communication skills.

- Strong problem analysis, negotiating and influencing skills.

- Learning agility and desire to learn new technology.

- Growth mindset for self and team encouraging a culture of continuous learning and skill development.

- Strong hands-on expertise with ML Algorithms.

- Practical experience model development.

- Advanced production-level Python skills for agent runtime, CLI, and skill development.

Key Responsibilities :

- Design and deploy robust price elasticity models to quantify the impact of price changes on demand, enabling data-driven decision-making for category managers.

- Develop scalable promotional optimization engines that identify the most effective discount structures to maximize incremental revenue and customer lifetime value.

- Partner with business stakeholders to translate strategic objectives into technical requirements, ensuring that analytical outputs align with broader organizational goals.

- Conduct deep-dive statistical analyses on historical transaction data to uncover hidden trends, seasonality, and competitive threats that inform future pricing policies.

- Mentor junior data scientists and foster a culture of technical excellence, ensuring the consistent application of best practices in statistical modeling and machine learning.

- Communicate complex analytical findings to executive leadership through intuitive visualizations and concise narratives that drive consensus and strategic action.