Director Data Science
Meesho
About the role
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
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Lead, grow, and mentor a high-performing team of data scientists..
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Own all data science systems and models in your charter — from strategy to deployment and monitoring.
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Collaborate with senior product, engineering, and business leaders to define and prioritize impactful AI/ML initiatives.
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Represent Data Science in senior leadership discussions and clearly communicate technical strategies, investment decisions, trade-offs, and business impact.
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Drive platformization, system architecture decisions, and ML lifecycle improvements across the charter.
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Ensure model scalability, performance, and cost efficiency, while upholding best practices in experimentation and statistical rigor.
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Guide the team in reading and implementing state-of-the-art research, and facilitate build vs. buy decisions.
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Lead RCA for critical production issues and improve system observability, documentation, and service uptime.
What You Will Need
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Master’s degree (PhD preferred) in Machine Learning, Statistics, Computer Science, or a related quantitative field.
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10+ years of experience in Data Science or Analytics, with at least 6 years of people management experience.
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Strong research background and knowledge of state of art in AI / ML.
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Proven track record of building and deploying ML models in production at scale.
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Experience managing teams of 20+ data scientists and delivering across cross-functional charters.
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Deep expertise in ML algorithms, experimental design, and performance monitoring.
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Strong coding skills (Python, SQL) and familiarity with Big Data technologies like Spark, Hive, or Redshift.
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Ability to translate business needs into technical solutions, prioritize roadmaps, and estimate effort accurately.
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Strong communication and stakeholder management skills with a bias for action and clarity in execution.
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Strong experience in building large scale AI/ML applications for areas such as recommendations systems, ranking, retrieval, search etc
Bonus Points For
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Experience leading ML initiatives in B2C or e-commerce settings.
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Contributions to internal tools, open-source libraries, or research publications.
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Strong understanding of ML system performance trade-offs — latency, cost, and throughput.
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Top tier research Publications in the areas of AI and ML, especially in recsys, IR and knowledge discovery.
Eligibility & process
Who can apply
• 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 (Pyth
Skills & stack
Selection process
- As described in the employer's job posting.
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight Meesho's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Not disclosed
Bengaluru, India
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Master’s degree (PhD preferred) in Mach…
