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.

- Strong experience in managing teams of data scientists and consultants.

- Excellent stakeholder management, project governance, and cross-team collaboration skills.