Data Scientist

About Company:

Tudip Technologies Pvt. Ltd is a CMMI Level 5 extreme technology company. Careers at Tudip Technologies are not just jobs, but a promise of a bright and dynamic future. Tudip provides ample opportunities to grow within the company technically as well as a technocrat by promoting entrepreneurship. Tudip Technologies’ careers will enable you to help clients enhance and improve while you build your career. We are a place which defines Integrity, Innovation, and Serenity. Tudip provides you a better platform that transforms an individual into an experienced and immensely skilled professional through an ethical and vibrant business environment. We are here for effective client servicing, taking care of our employees’ needs, and creating a success story to remember.

Position Summary:

We are seeking a Data Scientist - Commercial Analytics to build and deliver production-ready, explainable analytics solutions for a global agro-chemical company. The role focuses on solving commercial problems across pricing, revenue management, demand forecasting, and customer analytics, operating in complex global supply chain environments.

Please read the job criteria below and drop us an email at [email protected] OR create an account at our Recruitment Portal to get started.

Key Responsibilities

• Develop and deploy analytics solutions for pricing, revenue management, and demand forecasting.
• Build models for cross-sell, up-sell, and churn use cases.
• Create explainable and interpretable models for business adoption.
• Support the full analytics lifecycle: data preparation, modeling, validation, deployment, and monitoring.
• Collaborate with commercial and supply chain stakeholders across regions.
• Build solutions using Python and Azure Databricks.

Required Skills & Qualifications

• 3-7 years of experience in data science or advanced analytics.
• Experience delivering production-ready analytics solutions.
• Exposure to commercial analytics (pricing, revenue management, or forecasting).
• Understanding of global supply chain dynamics.
• Experience with cross-sell, up-sell, or churn analytics.
• Strong proficiency in Python.
• Hands-on experience with Azure Databricks.
• Ability to build explainable, business-ready models.

Preferred Skills

• Experience in agro-chemicals, agriculture inputs, FMCG, or B2B distribution models.
• Exposure to seasonal demand or multi-country commercial environments.
• Mentoring or informal team leadership experience.
• Strong communication and stakeholder engagement skills.