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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist - **Company:** Poshmark, Inc. - **Location:** Redwood City, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Algorithm Design, Data Analysis, Computer Vision, Big Data, Data Infrastructure, Python (Programming Language), Machine Learning, Performance Tuning, Recommender Systems, Tensorflow, SQL Databases, Pytorch, Large Language Models, Apache Spark, Deep Learning, Reliability of Systems, Generative AI, Pyspark, Machine Learning Operations - **Published:** June 9, 2026 - **Apply:** https://www.dice.com/job-detail/6f841392-6aa7-4f38-86c3-0ffeaae921d0 ## About the Role * 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. Preferred Qualifications: * 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). 6-Month Accomplishments: * Develop comprehensive understanding of Poshmark's data platform and key datasets. * Gained insights into challenges related to data scale and noise, implementing strategies to effectively leverage data in decision-making processes. * Demonstrated proficiency in Poshmark's machine learning systems by applying advanced algorithms to address a business use case. * Successfully prototype/enhance models aimed at improving key business metrics, contributing to data-driven solutions that support company objectives ## Description * 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., * Collaborated with ML engineers and other data scientists to establish best practices for managing and maintaining machine learning models in production, enhancing system reliability. * Successfully led the development and deployment of model for resolving business use case(s), contributing to overall company growth and success * Lead the adoption and application of cutting-edge AI trends and technologies, establishing Poshmark as a pioneer in data science. * Mentor junior scientists/engineers, fostering a culture of continuous learning and development within the team. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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