Servify is a global product lifecycle management platform transforming the after-sales service experience. Founded in 2015 and headquartered in India, Servify connects leading OEM brands with their sales and service ecosystems to deliver seamless customer support and service operations. Servify partners with leading brands, retailers, distributors, insurers, service providers, and carriers across Asia, North America, Europe, and the MENA region.

Servify embraces and values diversity and is committed to be an equal opportunity employer. We welcome applications from all members and will give equal consideration to all irrespective of age, disability, gender, sexual orientation, ethnicity, nationality, religion or belief.

At Servify, you'll be part of a fast-growing global technology company that encourages innovation, ownership, and continuous learning. We offer competitive compensation, ESOPs, employee-friendly policies, modern collaboration tools, professional development opportunities, and benefits that help you do your best work.





We are seeking an experienced Data Scientist to take operational ownership of predictive analytics and algorithmic models within our established data ecosystem. If you have 2-4 years of data science experience and Databricks in a production workplace, this is your chance to drive a critical platform transformation. You will be responsible for the continuous health of our production machine learning pipelines, ensuring data quality, statistical model fidelity, and leading the charge to leverage advanced

analytical assets directly inside Databricks SQL Analytics and Warehouse to support intelligent business decisions.

Data & Feature Fidelity: Guarantee the statistical integrity and performance of analytical data features moving from Bronze to Gold layers

Predictive Insights Lead: Execute the end-to-end integration of machine learning outputs and predictive logic onto the native Databricks visualization platform and SQL Analytics war

📌 Data Marketing Scientist (Mumbai)
🏢 Servify
📍 Mumbai