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Meesho is seeking a Director of Data Science to lead a team of data scientists and guide the data science roadmap for scalable, production-grade ML solutions. You will collaborate with product, tech, and business leaders to translate complex challenges into impactful AI initiatives.
The role emphasizes strategic thinking, mentoring, and strong execution across cross-functional charters, with focus on innovation and measurable business outcomes.
Our Data Science team is the Avengers to Meesho’s S.H.I.E.L.D. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.
About the role
Are you a strategic thinker with a passion for solving large-scale problems using data? Do you enjoy mentoring high-performing teams and building ML systems that directly impact millions of users? We're looking for a Director - Data Science to lead a team of skilled data scientists in building intelligent systems that power Meesho’s next phase of growth.
In this role, you’ll own the data science roadmap for a key business charter, guiding the team through ambiguity and complexity to deliver production-grade ML solutions. You’ll work closely with product, tech, and business leaders to translate complex challenges into scalable, measurable, and impactful outcomes. As a people and technical leader, you’ll ensure model efficiency, system reliability, and scientific excellence while fostering a culture of innovation, collaboration, and continuous improvement.
Master’s degree (PhD preferred) in Machine Learning, Statistics, Computer Science, or a related quantitative field.
10+ years of experience in Data Science or Analytics, with at least 6 years of people management experience.
Strong research background and knowledge of state of art in AI / ML.
Proven track record of building and deploying ML models in production at scale.
Experience managing teams of 20+ data scientists and delivering across cross-functional charters.
Deep expertise in ML algorithms, experimental design, and performance monitoring.
Strong coding skills (Python, SQL) and familiarity with Big Data technologies like Spark, Hive, or Redshift.
Ability to translate business needs into technical solutions, prioritize roadmaps, and estimate effort accurately.
Strong communication and stakeholder management skills with a bias for action and clarity in execution.
Strong experience in building large scale AI/ML applications for areas such as recommendations systems, ranking, retrieval, search etc