Poshmark
Staff Data Scientist
US California (Redwood City) - Office · Staff+
Sponsorship not specifiedDetected 140 days ago
PythonScalaAlgorithmsSQLMachine LearningDeep LearningPyTorchSparkData ScienceNLPComputer VisionLLMsRAGStatisticsA/B TestingProblem Solving
About the role
- ABOUT POSHMARK Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection.
- 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.
Responsibilities
- 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.
- Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story.
- 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.
Requirements
- 5-8 years of experience building scalable data science solutions in a big data environment.
- Strong problem-solving skills and the ability to communicate complex technical ideas effectively to diverse audiences, including executives and engineers.
- 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.
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).
- 6-MONTH ACCOMPLISHMENTS:
- Gained insights into challenges related to data scale and noise, implementing strategies to effectively leverage data in decision-making processes.
- 12+ MONTH ACCOMPLISHMENTS:
- Successfully led the development and deployment of model for resolving business use case(s), contributing to overall company growth and success
Skills
- Explore and experiment with emerging AI trends, technologies, and methodologies to keep Poshmark at the cutting edge.
Benefits
- 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.
Company info
- At Poshmark, we're passionate about harnessing the power of data to drive business impact.
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This listing is sourced directly from Poshmark's careers page and normalized into a canonical job model.