Meesho
Data Science
SeniorPrincipalDataScientist
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“Senior Principal Data Scientist at Meesho. Skills: Leading data science teams, Owning data science systems and models, ML system development and deployment, Cross-functional collaboration. 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”
What You'll Achieve.
Deliver production-grade ML solutions; Deliver scalable, measurable, and impactful outcomes; Ensure model efficiency, system reliability, and scientific excellence; Improve system observability, documentation, and service uptime
Industry & Context.
Solving large-scale problems using data; Guiding the team through ambiguity and complexity; Translating complex challenges into scalable, measurable, and impactful outcomes
What They're Looking For.
Must Have
Master's degree in Machine Learning, Statistics, Computer Science, or a related quantitative field, 10+ years of experience in Data Science or Analytics, 2–3 years of people management experience, Proven track record of building and deploying ML models in production at scale, Experience managing teams of 10+ data scientists and delivering across cross-functional charters, Deep expertise in ML algorithms, experimental design, and performance monitoring, coding skills (Python, SQL), familiarity with Big Data technologies like Spark, Hive, or Redshift, Ability to translate business needs into technical solutions, prioritize roadmaps, and estimate effort accurately, communication and stakeholder management skills with a bias for action and clarity in execution
Nice to Have
PhD preferred, Experience leading ML initiatives in B2C or e-commerce settings, Contributions to internal tools, open-source libraries, or research publications, Experience in personalization, recommendations, ranking, or supply chain ML problems, understanding of ML system performance trade-offs — latency, cost, and throughput
What You'll Do.
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
and business leaders to define and prioritize impactful DS initiatives
Drive platformization
system architecture decisions
and ML lifecycle improvements across the charter
Ensure model scalability
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
How You'll Work.
Team & Collaboration
Collaborate with senior product, engineering, and business leaders; Fostering a culture of innovation, collaboration, and continuous improvement
Communication Scope
Communication skills; Stakeholder management skills; Clarity in execution
Process & Methodology
Prioritize roadmaps, Estimate effort accurately
Full Job Description
## Description 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 Senior Principal Data Scientist 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 DS initiatives. 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 2–3 years of people management experience. Proven track record of building and deploying ML models in production at scale. Exp
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