What your typical day would look like:

- Lead and manage a cross-functional team of data scientists, consultants, and analysts on production-level data science projects.
- Drive end-to-end delivery operations, including planning, execution, quality assurance, and deployment.
- Partner with business stakeholders in the Retail sector to translate requirements into actionable data science solutions.
- Ensure scalability, robustness, and efficiency in production deployments of machine learning and analytical models.
- Implement governance frameworks, best practices, and continuous improvement for Data Science Operations (DS Ops).
- Mentor and guide team members, fostering technical growth and operational excellence.




- Collaborate with engineering and product teams to align data science capabilities with business strategy.

What we expect:

- 15+ years of total relevant experience in Data Science projects.
- Masters/PhD in Computer Science, Data Science, Statistics, Engineering, or a related field (preferred).
- Prior experience in Retail/CPG domains highly desirable.
- Proven track record in Data Science Operations and leading production projects.
- Solid experience in managing teams of data scientists and consultants.
- Excellent stakeholder management, project governance, and cross-team collaboration skills.

📌 Tiger Analytics - Data Science Manager - Retail Domain (India)
🏢 Tiger Analytics
📍 India