Data Scientist 1

Poshmark • Redwood City, CA

1d

About The Position

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 . At Poshmark, we’re passionate about leveraging the power of data to drive meaningful impact across our platform. As a Data Scientist, you’ll work on exciting challenges in personalization, marketing optimization, trust & safety, and enhancing user experience. With over 130 million users generating billions of daily events, you’ll have the opportunity to learn and contribute to machine learning solutions at scale while growing your skills in a supportive, fast-paced environment. Responsibilities: Drive end-to-end machine learning projects - from problem formulation and data exploration to model development, evaluation, and deployment. Build scalable, production-ready feature pipelines and models for use cases like personalization, recommendations and ranking. Collaborate with ML engineers, product managers, and analysts to define success metrics, align on priorities, and drive impact through data science solutions. Contribute to best practices in model development, experiment design, and model monitoring Stay current with advances in machine learning and actively contribute ideas for innovation. Must-Have Qualifications: 2+ years of experience in applying data science or machine learning to real-world problems in a production environment Strong proficiency in Python and SQL for data analysis and model development. Hands-on experience with ML libraries/frameworks like Scikit-learn, PyTorch, or TensorFlow. Solid understanding of statistics, probability, and A/B testing concepts. Ability to translate ambiguous business problems into well-defined, actionable data science objectives Innovative problem solver with eagerness to learn, strong analytical thinking, and ability to clearly communicate complex technical ideas. Preferred Qualifications: Experience with personalization, recommendation systems and other Machine learning algorithms. Exposure to working with big data tools like Spark and cloud services (e.g., AWS, GCP). Ability to quickly understand, debug and solve model post production issues Familiarity and Hands on experience with LLMs or GenAI concepts like RAG, PEFT What You’ll Accomplish in Your First 6 Months: Gain a deep understanding of Poshmark’s data ecosystem, tools, and workflows. Contribute to small projects or feature enhancements under the guidance of senior team members. Learn about the machine learning lifecycle, from data collection to deployment and monitoring. Lead model enhancements and experiments in contributing to data-driven solutions that support company objectives By 12+ Months, You Will: Own end-to-end execution of business critical data science projects with minimal supervision. Collaborate cross-functionally to contribute models that improve key product and business metrics. Continue building depth in two or more focus areas such as personalization, computer vision, market place ops, etc.

Requirements

• 2+ years of experience in applying data science or machine learning to real-world problems in a production environment
• Strong proficiency in Python and SQL for data analysis and model development.
• Hands-on experience with ML libraries/frameworks like Scikit-learn, PyTorch, or TensorFlow.
• Solid understanding of statistics, probability, and A/B testing concepts.
• Ability to translate ambiguous business problems into well-defined, actionable data science objectives
• Innovative problem solver with eagerness to learn, strong analytical thinking, and ability to clearly communicate complex technical ideas.

Nice To Haves

• Experience with personalization, recommendation systems and other Machine learning algorithms.
• Exposure to working with big data tools like Spark and cloud services (e.g., AWS, GCP).
• Ability to quickly understand, debug and solve model post production issues
• Familiarity and Hands on experience with LLMs or GenAI concepts like RAG, PEFT

Responsibilities

• Drive end-to-end machine learning projects - from problem formulation and data exploration to model development, evaluation, and deployment.
• Build scalable, production-ready feature pipelines and models for use cases like personalization, recommendations and ranking.
• Collaborate with ML engineers, product managers, and analysts to define success metrics, align on priorities, and drive impact through data science solutions.
• Contribute to best practices in model development, experiment design, and model monitoring
• Stay current with advances in machine learning and actively contribute ideas for innovation.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed