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Meesho - Data Scientist - Machine Learning/Deep Learning 

<div class="job-description">Summary:Meesho is seeking a skilled Data Scientist to join our dynamic Data Science team. In this role, you will be instrumental in developing and deploying machine learning solutions that drive key business outcomes. You will collaborate with cross-functional teams to build scalable ML pipelines and improve model performance.Key Responsibilities<ul><li>Own and deliver solutions across multiple charters, driving them to execution with measurable impact.</li><li>Mentor a team of data scientists, assisting with project planning, execution, and issue resolution.</li><li>Design and optimize key user journeys by identifying user intents and behavioral patterns from data.</li><li>Collaborate with machine learning engineers and big data teams to build scalable ML pipelines.</li><li>Continuously track and improve model performance using state-of-the-art techniques.</li><li>Lead experimental design for usability improvements and user growth, leveraging statistical rigor.</li><li>Partner with engineering to ensure data reliability and integration of models into production systems.</li><li>Proactively explore new areas of opportunity through research and academic collaboration.</li><li>Communicate findings and results clearly with stakeholders, creating technical documentation.</li></ul>Qualifications / Requirements<ul><li>Bachelor's degree in Computer Science, Data Science, or a related field; a Master's is a plus.</li><li>4 - 6 years of experience in data science with a track record of building and deploying ML solutions.</li><li>Deep understanding of core ML techniques with strong foundations in statistics and linear algebra.</li><li>Exposure to deep learning concepts and architectures and their practical applications.</li><li>Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows.</li><li>Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms.</li><li>Strong programming fundamentals and experience writing clean, maintainable, production-ready code.</li><li>Excellent analytical and problem-solving skills; the ability to extract actionable insights from data.</li><li>Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design.</li><li>Experience designing and interpreting A/B tests, including uplift measurement and segmentation.</li></ul>Preferred Skills / Attributes<ul><li>Experience with reinforcement learning or sequence modeling techniques.</li><li>Contributions to ML libraries, internal tools, or research publications.</li></ul></div>

recruitersainath.25@gmail.co

Summary:Meesho is seeking a skilled Data Scientist to join our dynamic Data Science team. In this role, you will be instrumental in developing and deploying machine learning solutions that drive key business outcomes. You will collaborate with cross-functional teams to build scalable ML pipelines and improve model performance.Key ResponsibilitiesOwn and deliver solutions across multiple charters, driving them to execution with measurable impact.Mentor a team of data scientists, assisting with project planning, execution, and issue resolution.Design and optimize key user journeys by identifying user intents and behavioral patterns from data.Collaborate with machine learning engineers and big data teams to build scalable ML pipelines.Continuously track and improve model performance using state-of-the-art techniques.Lead experimental design for usability improvements and user growth, leveraging statistical rigor.Partner with engineering to ensure data reliability and integration of models into production systems.Proactively explore new areas of opportunity through research and academic collaboration.Communicate findings and results clearly with stakeholders, creating technical documentation.Qualifications / RequirementsBachelor's degree in Computer Science, Data Science, or a related field; a Master's is a plus.4 - 6 years of experience in data science with a track record of building and deploying ML solutions.Deep understanding of core ML techniques with strong foundations in statistics and linear algebra.Exposure to deep learning concepts and architectures 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.Strong programming fundamentals and experience writing clean, maintainable, production-ready code.Excellent analytical and problem-solving skills; the ability to extract actionable insights from 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.Preferred Skills / AttributesExperience with reinforcement learning or sequence modeling techniques.Contributions to ML libraries, internal tools, or research publications.

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