Data Scientist IV

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.  
Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.
As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users. You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market.
But wait – there's more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting "Summer of 69" at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us

About the Role 
Love deep data? Does 'innovative-thinking' describe you? Then you may be our next Lead Data Scientist.
In this role you'll be the Dumbledore to our team of wizards - our junior data scientists. You will be responsible for transforming scattered pieces of information into valuable data that can be used to achieve goals effectively. You will extract and mine critical bits of information and drive insightful discussions that result in app innovations.  What you will do

• Own and deliver solutions across multiple charters by formulating well-scoped problem statements and driving them to execution with measurable impact
• Mentor a team of data scientists (DS2s and DS3s), helping them with project planning, execution, and on-call issue resolution
• Design and optimize key user journeys (e.g., Reseller Experience, Search, Fraud Systems) by identifying user intents and behavioral patterns from large-scale data
• Collaborate with machine learning engineers and big data teams to build scalable ML pipelines and improve inference performance
• Continuously track and improve model performance using state-of-the-art (SOTA) techniques and libraries
• Lead experimental design for usability improvements and user growth, leveraging statistical rigor
• Contribute to system-level thinking by enhancing internal tools, frameworks, and libraries to improve team efficiency and code quality
• Partner with engineering to ensure data reliability, compliance with security/PII guidelines, and integration of models into production systems
• Proactively explore new areas of opportunity through research, data mining, and academic collaboration, including publishing and attending top-tier conferences
• Communicate findings, plans, and results clearly with DS, product, and tech stakeholders, and create technical documentation consumable by both DS and engineering teams
• Conduct research collaborations with premier colleges and universities Attend conferences and publish research papers

What you will need

• A Bachelor's degree in Computer Science, Data Science, or a related field; a Master's is a plus
• 6–8 years of experience in data science with a strong track record of building and deploying ML solutions at scale
• Deep understanding of core ML techniques — supervised, unsupervised, and semi-supervised learning — along with strong foundations in statistics and linear algebra
• Exposure to deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications
• Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows
• Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms such as GCP
• Strong programming fundamentals and experience writing clean, maintainable, and production-ready code
• Excellent analytical and problem-solving skills — the ability to extract actionable insights from messy and high-volume data
• Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design
• Experience designing and interpreting A/B tests, including uplift measurement and segmentation
• Ability to work closely with product and engineering teams to translate business goals into scalable ML or data solutions
  

Bonus points for:Experience with reinforcement learning or sequence modeling techniquesContributions to ML libraries, internal tools, or research publications About us 
Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform; we're your partner in turning dreams into realities.
Curious about life at Meesho? Explore our Glassdoor - our people have a lot to say and they've helped us become a loved workplace in India.
Our Mission
Democratising internet commerce for everyone — Meesho (Meri Shop) started with a single idea in mind: to be an e-commerce destination for Indian consumers and to enable small businesses to succeed online.
We provide our sellers with benefits such as zero commission and affordable shipping solutions in the market. Today, sellers nationwide are growing their businesses by tapping into Meesho's large and diverse customer base, state-of-the-art tech infrastructure, and pan-India logistics network through trusted third-party partners.
Affordable, relatable merchandise that mirrors local markets has helped us connect with internet users and serve customers across urban, semi-urban, and rural India. Our unique business model and continuous innovation have established us as a part of India's e-commerce ecosystem.
Culture and Total Rewards
Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent.
Total rewards at Meesho comprise a comprehensive set of elements — monetary, non-monetary, tangible, and intangible. Our 9 guiding principles, or "Mantras," are the backbone of how we operate, influencing everything from recognition and evaluation to growth discussions. Daily rituals and processes like "Problem First Mindset," "Listen or Die," our Internal Mobility Program, Talent Reviews, and Continuous Performance Management embody these principles.
We offer competitive compensation — both cash and equity-based — tailored to job roles, individual experience, and skill, along with employee-centric benefits and a supportive work environment. Our holistic wellness program, MeeCare, includes benefits across physical, mental, financial, and social wellness. This includes extensive medical insurance for employees and their families, wellness initiatives like telehealth, wellness events, and fitness-related perks.
To support work-life balance, we offer generous leave policies, parental support, retirement benefits, and learning and development assistance. Through personalized recognition, gratitude for stretched work, and engaging activities, we promote employee delight at the workplace. Additional benefits such as salary advance support, relocation assistance, and flexible benefit plans further enrich the Meesho experience.
Know more about Meesho here :

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

---