Staff Data Scientist

At Poshmark, we're passionate about harnessing the power of data to drive business impact. As a Lead Data Scientist, you'll tackle complex challenges in personalization, trust & safety, marketing optimization, and product experience. With over 130 million users generating billions of daily events, you'll be at the forefront of data science innovation, developing AI solutions that enhance our platform and delight our community.

Responsibilities

Lead end-to-end data science initiatives, from ideation to deployment, delivering measurable business impact through projects such as feed personalization, product recommendation systems, computer vision and GenAI; Collaborate cross-functionally with ML engineers, product managers, and business stakeholders, to design and deploy high-impact models; Develop scalable solutions for key areas of product, marketing, operations, and community functions; Own the entire ML development lifecycle: data exploration, model development, deployment, and performance optimization; Explore and experiment with emerging AI trends, technologies, and methodologies to keep Poshmark at the cutting edge.

Requirements

5–8 years of experience building scalable data science solutions in a big data environment; Hands-on experience with key machine learning algorithms, including CNNs, Transformers, and Vision Transformers; Proficiency in Python, SQL, and Spark (Scala or PySpark), with experience in deep learning frameworks such as PyTorch or TensorFlow; Solid understanding of linear algebra, statistics, probability, calculus, and A/B testing concepts; Strong problem-solving skills and the ability to communicate complex technical ideas effectively to diverse audiences, including executives and engineers.

Nice to have

Experience with personalization algorithms, recommendation systems, or user behavior modeling; Familiarity with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) or Parameter-Efficient Fine-Tuning (PEFT).