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Urgent! Poshmark - Senior Data Scientist - Artificial Intelligence/Machine Learning Job Opening In Chennai – Now Hiring POSHMARK

Poshmark Senior Data Scientist Artificial Intelligence/Machine Learning



Job description

<p><p><b>Job Description : </b><br/><br/>Senior Data Scientist II<br/><br/>Are you passionate about the power of data and excited to leverage cutting-edge AI/ML to drive business impact?

At Poshmark, we tackle complex challenges in personalization, trust & safety, marketing optimization, product experience, and more.<br/><br/><b>Why Poshmark?</b><br/><br/>As a leader in Social Commerce, Poshmark offers an unparalleled opportunity to work with extensive multi-platform social and commerce data.<br/><br/>With over 130 million users generating billions of daily events and petabytes of rapidly growing data, youll be at the forefront of data science innovation.<br/><br/>If building impactful, data-driven AI solutions for millions excites you, this is your place.<br/><br/><b>What Youll Do : </b><br/><br/>- Drive end-to-end data science initiatives, from ideation to deployment, delivering measurable business impact through projects such as feed personalization, product recommendation systems, and attribute extraction using computer vision.<br/><br/>- Collaborate with cross-functional teams, including ML engineers, product managers, and business stakeholders, to design and deploy high-impact models.<br/><br/>- Develop scalable solutions for key areas like product, marketing, operations, and community functions.<br/><br/>- Own the entire ML Development lifecycle : data exploration, model development, deployment, and performance optimization.<br/><br/>- Apply best practices for managing and maintaining machine learning models in production environments.<br/><br/>- Explore and experiment with emerging AI trends, technologies, and methodologies to keep Poshmark at the cutting edge.<br/><br/><b>Your Experience & Skills : </b><br/><br/>- Experience : 6 to 9 years of building scalable data science solutions in a big data environment.<br/><br/>- Experience with personalization algorithms, recommendation systems, or user behavior modeling is a big plus.<br/><br/>- Machine Learning Knowledge : Hands-on experience with key ML algorithms, including CNNs, Transformers, and Vision Transformers.<br/><br/>- Familiarity with Large Language Models (LLMs) and techniques like RAG or PEFT is a bonus.<br/><br/>- Technical Expertise : Proficiency in Python, SQL, and Spark (Scala or PySpark), with hands-on experience in deep learning frameworks like PyTorch or TensorFlow.<br/><br/>- Familiarity with ML engineering tools like Flask, Docker, and MLOps practices.<br/><br/>- Mathematical Foundations : Solid grasp of linear algebra, statistics, probability, calculus, and A/B testing concepts.<br/><br/>- Collaboration & Communication : Strong problem-solving skills and ability to communicate complex technical ideas to diverse audiences, including executives and engineers.<br/></p><br/></p> (ref:hirist.tech)


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