Posted on: 22/01/2026



Description :
Opportunity to :
- 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.
Desired Skills & Experience :
- Proven track record in Data Science Operations and leading large-scale production projects.
- Strong experience in managing teams of data scientists and consultants.
- Excellent stakeholder management, project governance, and cross-team collaboration skills.
Good To Have :
- Strong background in Retail domain use cases :
1. Pricing optimization
2. Promotions effectiveness
3. Recommendation systems
- Hands-on exposure to Python and PySpark.
- Familiarity with cloud-based data platforms and ML model deployment.
Qualifications & Experience :
- 12+ years of total experience with at least 5+ years in Data Science Operations leadership.
- Masters/PhD in Computer Science, Data Science, Statistics, Engineering, or a related field (preferred).
- Prior experience in Retail/CPG domains highly desirable.
You are important to us, lets stay connected!
Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
Note : The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
Additional Benefits : Health insurance (self & family), virtual wellness platform, and knowledge communities.
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