Poshmark

Staff Data Scientist

Poshmark • $150K — $180K *
Redwood City, CA 94061In-Person
Consumer Technology
5 - 7 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • 5-8 years of experience building scalable data science solutions in a big data environment.
  • Hands-on experience with machine learning algorithms such as CNNs, Transformers, and Vision Transformers.
  • Proficiency in Python, SQL, and Spark (Scala or PySpark), with deep learning experience in PyTorch or TensorFlow.
  • Solid understanding of linear algebra, statistics, probability, calculus, and A/B testing concepts.
  • Strong problem-solving skills with effective communication abilities for technical ideas across various audiences.

Responsibilities

  • Lead end-to-end data science initiatives to deliver measurable business impact, including personalization and product recommendation projects.
  • Collaborate 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 full ML development lifecycle from data exploration to deployment and performance optimization.
  • Experiment with emerging AI trends and technologies to enhance Poshmark's offerings.

Benefits

  • Opportunity to work at a leading fashion marketplace with a vibrant community of 165 million members.
  • Engagement in high-impact projects that drive significant business value.
  • Access to cutting-edge AI technology and emerging industry trends.
  • Collaborative cross-functional environment promoting knowledge sharing and teamwork.
  • Mentorship opportunities to foster growth within the data science team.
Full Job Description
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 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


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.

About Poshmark

Poshmark is an online marketplace that allows users to buy and sell new and used clothing, shoes, and accessories. The company was founded in 2011 and is headquartered in Redwood City, California. Poshmark's platform is designed to make it easy for users to buy and sell items, with features like in-app payments, shipping labels, and seller ratings. Poshmark has raised over $150 million in funding and has been recognized as one of the fastest-growing companies in the United States.
Learn more about Poshmark
Size
600 employees
Market Cap
$1.4 billion
Industry
Retail & Consumer Goods
Net Income
$6.1 million
Founded
2011
Revenue
$262 million
NASDAQ
POSH
* Ladders Estimates

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