Join Meesho's Data Science team as a Lead Data Scientist to navigate uncharted territories, discover new paths to creating solutions for users, and drive insightful discussions that result in app innovations. The team is huge on having a well-rounded personal and professional life, and values innovative thinking, excellent analytical and problem-solving skills, and the ability to extract actionable insights from messy and high-volume data.
Requirements
- 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
Benefits
- market leading compensation - both cash and equity-based
- employee centric benefits and work environment
- extensive medical insurance benefits for employees and their families
- wellness initiatives like telehealth, wellness events, and gym & recreational discounts
- generous leave policies
- parental support benefits
- retirement benefits
- learning and development assistance
- salary advance support
- relocation assistance
- flexible benefits plans