Job 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:
  • Pricing optimization
  • Promotions effectiveness
  • 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.

Master’s/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, let’s stay connected!

Every individual comes with a different set of skills and qualities so even if you don’t 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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