Experience : 8 - 13 years

Skills : Machine learning - Pricing/Promotion

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

Key Responsibilities :

- Develop and deploy advanced machine learning models to measure price elasticity, enabling the business to predict demand shifts and optimize pricing structures.

- Design and execute rigorous experiments to measure promotion effectiveness, ensuring marketing spend is allocated toward high-ROI initiatives.

- Partner with cross-functional teams to integrate price optimization algorithms into existing sales and inventory workflows, directly improving margin performance.

- Translate complex statistical findings into clear, strategic narratives for senior leadership to support data-driven decision-making.

- Monitor market trends and competitor pricing dynamics to refine predictive models, ensuring our pricing strategy remains agile and responsive to external shifts.

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