Poshmark

Data Scientist I

Poshmark2 months ago
Location

Redwood City, California, USA

Type

Full Time

Salary

USD 130,000 – 186,000

Level

Junior

Role

Data Scientist

Posted

Jan 8, 2026

Full TimeJunior

The role

Summary

A Data Scientist I role at Poshmark focused on driving end-to-end machine learning projects across personalization, marketing optimization, and user experience enhancement. The ideal candidate will leverage data science expertise to build scalable models and feature pipelines while collaborating with cross-functional teams in a dynamic, fast-paced environment.

What you'll do

Machine Learning Project Management: Drive end-to-end machine learning projects from problem formulation to model deployment
Feature Engineering: Build scalable, production-ready feature pipelines for personalization and recommendation systems
Cross-Functional Collaboration: Work with ML engineers, product managers, and analysts to define success metrics and drive impactful data science solutions
Model Development: Contribute to best practices in model development, experiment design, and model monitoring
Innovation: Stay current with machine learning advances and contribute innovative ideas

What we look for

Technical

ProgrammingProficiency in Python and SQL
Machine LearningExperience with ML libraries and frameworks
Statistical AnalysisStrong understanding of statistical concepts

Education

Relevant DegreeBachelor's or Master's in Computer Science, Data Science, Statistics, or related technical field

Experience

Professional Experience2+ years of data science or machine learning experience in a production environment

Skills

Required skills

PythonStrong proficiency in Python for data analysis and model development
SQLExpertise in SQL for data querying and manipulation
Machine LearningHands-on experience with ML libraries like Scikit-learn, PyTorch, or TensorFlow
Statistical AnalysisSolid understanding of statistics, probability, and A/B testing concepts
Problem SolvingAbility to translate ambiguous business problems into actionable data science objectives

Nice to have

Recommendation SystemsExperience with personalization and recommendation algorithms
Big Data ToolsExposure to Spark and cloud services like AWS or GCP
Generative AIFamiliarity with LLMs, RAG, and PEFT concepts

Compensation & benefits

Salary

USD 130,000 – 186,000 (annual)

Benefits

Professional Development

Opportunities to learn and grow in machine learning and data science

Innovative Environment

Work with cutting-edge technologies in a fast-paced social commerce platform

Cross-Functional Exposure

Collaborate with diverse teams across product, engineering, and business domains


Interview process

  1. 1
    Initial Screening Phone or video call with recruiter to discuss background and experience
  2. 2
    Technical Assessment Data science challenge or coding assessment to evaluate technical skills
  3. 3
    Technical Interviews Multiple rounds of interviews focusing on machine learning, problem-solving, and technical expertise
  4. 4
    Hiring Manager Interview Discussion of team fit, career goals, and potential project contributions
  5. 5
    Final Review Comprehensive evaluation of interview performance and team alignment

Apply for this position

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