Director Data Science

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 aDirector - 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.