Job 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.

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 and 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.

- Solid communication and stakeholder engagement skills.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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