Director Data Science

Job details

Work model

On-site

Salary

Not listed by source

Location

Bangalore, Karnataka

Hiring context

How this role compares at Meesho

Meesho has 50 live roles in MeritLog’s catalog across 11 job families, and 3 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

About the Team   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. What You Will Do • Lead, grow, and mentor a high-performing team of data scientists.. • Own all data science systems and models in your charter - from strategy to deployment and monitoring. • Collaborate with senior product, engineering, and business leaders to define and prioritize impactful AI/ML initiatives. • Represent Data Science in senior leadership discussions and clearly communicate technical strategies, investment decisions, trade-offs, and business impact. • Drive platformization, system architecture decisions, and ML lifecycle improvements across the charter. • Ensure model scalability, performance, and cost efficiency, while upholding best practices in experimentation and statistical rigor. • Guide the team in reading and implementing state-of-the-art research, and facilitate build vs. buy decisions. • Lead RCA for critical production issues and improve system observability, documentation, and service uptime. What You Will Need • 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 Bonus Points For • Experience leading ML initiatives in B2C or e-commerce settings. • Contributions to internal tools, open-source libraries, or research publications. • Strong understanding of ML system performance trade-offs - latency, cost, and throughput. • Top tier research Publications in the areas of AI and ML, especially in recsys, IR and knowledge discovery.

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