Data Scientist IV

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