Sr. Data Scientist

About Poshmark

Poshmark is a leading fashion resale marketplace powered by a vibrant, highly engaged community of buyers and sellers and real-time social experiences. Designed to make online selling fun, more social and easier than ever, Poshmark empowers its sellers to turn their closet into a thriving business and share their style with the world. Since its founding in 2011, Poshmark has grown its community to over 130 million users and generated over $10 billion in GMV, helping sellers realize billions in earnings, delighting buyers with deals and one-of-a-kind items, and building a more sustainable future for fashion. For more information, please visit www.poshmark.com, and for company news, visit newsroom.poshmark.com.

Poshmark Inc. is hiring for the following role in Redwood City, CA: Sr. Data Scientist to 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.

Responsibilities

•  Collaborate with cross-functional teams, including software and machine learning engineers, and business stakeholders to design and deploy high-impact models;

•  Develop scalable data science solutions in a big data environment for product, marketing, operations, and community functions;

•  Assist with machine learning (ML) development lifecycle, including data exploration, model development, deployment and performance optimization;

•  Apply best practices for managing and maintaining machine learning models in big data production environments; and

•  Explore and experiment with emerging AI trends, technologies, and methodologies to keep Poshmark at the cutting edge. Telecommuting available. Multiple positions.

Qualifications

•  Master’s degree (or foreign equivalent) in Computer Science, Data Science, Mathematics, Statistics, or a related field;

•  Two (2) years of experience in the job offered or related occupation.

•  Requires two (2) years of experience in each of the following: Building scalable data science solutions in big data environment; Machine learning, including algorithms, CNNs, Transformers, and Vision Transformers; Large Language Models (LLMs), including RAG or PEFT; Programming languages: Python, SQL, and Spark (Scala or PyTorch); PyTorch, or TensorFlow; and Real-world application of Mathematical Foundations, including linear algebra, statistics, probability, calculus, and A/B testing concepts.