Poshmark

Staff Data Scientist

Poshmark2 weeks ago
Location

US California (Redwood City) - Office

Type

Full Time

Salary

USD 188,936 – 268,149

Level

Staff

Role

Staff Data Scientist

Posted

Mar 3, 2026

Full TimeStaff

The role

Summary

Poshmark is seeking a Staff Data Scientist to drive innovative AI solutions across their social commerce platform. The ideal candidate will leverage advanced machine learning techniques to enhance personalization, trust & safety, and product experiences for their 165 million member community.

What you'll do

End-to-End Data Science Initiatives: Lead comprehensive data science projects from conception to deployment, focusing on critical areas like feed personalization, product recommendations, computer vision, and generative AI solutions.
Cross-Functional Collaboration: Collaborate closely with ML engineers, product managers, and business stakeholders to design and implement high-impact machine learning models.
ML Development Lifecycle Management: Own the entire machine learning development process, including data exploration, model development, deployment, and continuous performance optimization.
Innovative Technology Exploration: Continuously explore and experiment with emerging AI technologies, methodologies, and trends to maintain Poshmark's technological leadership.
Scalable Solution Development: Develop scalable data science solutions that drive improvements across product, marketing, operations, and community functions.

What we look for

Technical

Programming LanguagesAdvanced proficiency in Python, SQL, and Spark (Scala or PySpark)
Machine Learning FrameworksExpertise in deep learning frameworks like PyTorch and TensorFlow
Machine Learning AlgorithmsHands-on experience with CNNs, Transformers, and Vision Transformers

Education

Advanced DegreeMS or PhD in Computer Science, Statistics, Machine Learning, or related technical field preferred

Experience

Professional Experience5-8 years of experience building scalable data science solutions in big data environments

Skills

Required skills

Mathematical FoundationsStrong understanding of linear algebra, statistics, probability, calculus, and A/B testing concepts
Technical CommunicationAbility to communicate complex technical ideas effectively to diverse audiences, including executives and engineers

Nice to have

Personalization ExpertiseExperience with personalization algorithms, recommendation systems, or user behavior modeling
Advanced AI TechniquesFamiliarity with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Parameter-Efficient Fine-Tuning (PEFT)

Compensation & benefits

Salary

USD 188,936 – 268,149 (annual)

Stock options

Available

Benefits

Health Insurance

Comprehensive medical, dental, and vision coverage

Equity Compensation

Stock options and potential equity grants for staff-level positions

Professional Development

Budget for conferences, training, and continuous learning opportunities

Flexible Work Arrangement

Potential for hybrid or flexible working models


Interview process

  1. 1
    Initial Screening Phone or video call with recruiting team to assess background and initial fit
  2. 2
    Technical Interview In-depth technical assessment of machine learning skills, algorithms, and problem-solving capabilities
  3. 3
    ML System Design Challenge Comprehensive evaluation of candidate's ability to design scalable machine learning solutions
  4. 4
    Stakeholder Interviews Meetings with team members and potential cross-functional partners to assess collaboration potential
  5. 5
    Final Leadership Interview Discussion with senior leadership to align on vision, technical approach, and team fit

Apply for this position

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