Salary not disclosed
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Role overview
Job description
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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
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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.
Bonus Points For
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About this listing
- Source: meesho's official careers site · still listed there on 9 Nov 2026
- Posted 4 Aug 2026
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What they are looking for
Skills & requirements
Qualification
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
Department · Tech
Hiring company
meesho
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