Data Scientist 25-26

About the role

To drive data-backed decision-making within the Sales division by applying advanced analytics, demand forecasting, price elasticity modeling, and GenAI solutions. This role aims to improve forecasting precision, assess the impact of pricing strategies, and uncover actionable insights from customer behavior to optimize sales performance.

What you'll do

• Develop scalable models to forecast enquiries, bookings, retails, and wholesales
• Use historical sales data and market trends to support short- and long-term planning
• Pricing & Offer Analytics
• Analyze price elasticity across segments and regions
• Measure the performance of offers and promotions using causal models and A/B testing

What you need

• 2–7 yrs of experience
• Machine learning
• Python
• Statistics
• Data modelling
• Dashboarding
• LLMs
• B.Tech or B.E.

Good to have

• Demand planning
• CRM
• Power BI
• Data visualisation
• Tableau
• Salesforce