Staff Data Scientist
AI summary of the role
Lead end-to-end data science initiatives at a social fashion marketplace, tackling personalization, trust & safety, marketing optimization, and product experience.
What you’ll do
- Lead end-to-end data science initiatives from ideation to deployment, delivering measurable business impact through 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 product, marketing, operations, and community functions.
- Own the entire ML development lifecycle: data exploration, model development, deployment, and performance optimization.
What you’ll bring
- 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.
Technologies
Python · SQL · Spark · PyTorch · TensorFlow · CNNs · Transformers · Vision Transformers · LLMs · RAG · PEFT
About Poshmark
Social-first secondhand fashion marketplace enabling peer-to-peer selling and discovery for 165M+ users; uses AI to streamline listing and personalize search.
Acquired · 1000–2000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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. Must-Have Qualifications: 5–8 years
More from the job description
About Poshmark Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury. 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- [... source excerpt omitted ...] opment, deployment, and performance optimization. Explore and experiment with emerging AI trends, technologies, and methodologies to keep Poshmark at the cutting edge. Must-Have Qualifications: 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 commun [... source excerpt omitted ...] bjectives 12+ Month Accomplishments: 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.
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