Data Scientist

Tudip Technologies · Remote

Source and collection record

Last observed by our collector: 9 October 2026 at 12:37 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: data-scientist

Job type and experience labels are automated discovery categories. The employer determines eligibility. Retained employer experience wording: 3-7 years.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Retained employer experience wording: 3-7 yearsAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 3 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

Data Scientist 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. 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.

Collected experience requirement

3-7 years