Data Scientist I
Poshmark
•
Redwood City, CA
0
0
0
0
Not Applicable
Posted April 17, 2026
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Responsibilities
Commitments
Responsibilities
- Drive end-to-end machine learning projects - from problem formulation and data exploration to model development, evaluation, and deployment.
- Build scalable, production-ready feature pipelines and models for use cases like personalization, recommendations and ranking.
- Collaborate with ML engineers, product managers, and analysts to define success metrics, align on priorities, and drive impact through data science solutions.
- Contribute to best practices in model development, experiment design, and model monitoring
- Stay current with advances in machine learning and actively contribute ideas for innovation.
- Gain a deep understanding of Poshmark’s data ecosystem, tools, and workflows.
- Contribute to small projects or feature enhancements under the guidance of senior team members.
- Learn about the machine learning lifecycle, from data collection to deployment and monitoring.
- Lead model enhancements and experiments in contributing to data-driven solutions that support company objectives
- Own end-to-end execution of business critical data science projects with minimal supervision.
- Collaborate cross-functionally to contribute models that improve key product and business metrics.
- Continue building depth in two or more focus areas such as personalization, computer vision, market place ops, etc.
Commitments
By 12+ Months, You Will:
Continue building depth in two or more focus areas such as personalization, computer vision, market place ops, etc.
Not Met Priorities
What still needs stronger evidence
Requirements
- 2+ years of experience in applying data science or machine learning to real-world problems in a production environment
- Strong proficiency in Python and SQL for data analysis and model development.
- Hands-on experience with ML libraries/frameworks like Scikit-learn, PyTorch, or TensorFlow.
- Solid understanding of statistics, probability, and A/B testing concepts.
- Ability to translate ambiguous business problems into well-defined, actionable data science objectives
- Innovative problem solver with eagerness to learn, strong analytical thinking, and ability to clearly communicate complex technical ideas.
- Gain a deep understanding of Poshmark’s data ecosystem, tools, and workflows.
Preferred Skills
- Experience with personalization, recommendation systems and other Machine learning algorithms.
- Exposure to working with big data tools like Spark and cloud services (e.g., AWS, GCP).
- Ability to quickly understand, debug and solve model post production issues
- Familiarity and Hands on experience with LLMs or GenAI concepts like RAG, PEFT
- What You’ll Accomplish In Your First 6 Months
- Gain a deep understanding of Poshmark’s data ecosystem, tools, and workflows.
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 leveraging the power of data to drive meaningful impact across our platform. As a Data Scientist, you’ll work on exciting challenges in personalization, marketing optimization, trust & safety, and enhancing user experience. With over 130 million users generating billions of daily events, you’ll have the opportunity to learn and contribute to machine learning solutions at scale while growing your skills in a supportive, fast-paced environment.
Responsibilities
Drive end-to-end machine learning projects - from problem formulation and data exploration to model development, evaluation, and deployment.
Build scalable, production-ready feature pipelines and models for use cases like personalization, recommendations and ranking.
Collaborate with ML engineers, product managers, and analysts to define success metrics, align on priorities, and drive impact through data science solutions.
Contribute to best practices in model development, experiment design, and model monitoring
Stay current with advances in machine learning and actively contribute ideas for innovation.
Must-Have Qualifications
2+ years of experience in applying data science or machine learning to real-world problems in a production environment
Strong proficiency in Python and SQL for data analysis and model development.
Hands-on experience with ML libraries/frameworks like Scikit-learn, PyTorch, or TensorFlow.
Solid understanding of statistics, probability, and A/B testing concepts.
Ability to translate ambiguous business problems into well-defined, actionable data science objectives
Innovative problem solver with eagerness to learn, strong analytical thinking, and ability to clearly communicate complex technical ideas.
Preferred Qualifications
Experience with personalization, recommendation systems and other Machine learning algorithms.
Exposure to working with big data tools like Spark and cloud services (e.g., AWS, GCP).
Ability to quickly understand, debug and solve model post production issues
Familiarity and Hands on experience with LLMs or GenAI concepts like RAG, PEFT
What You’ll Accomplish In Your First 6 Months
Gain a deep understanding of Poshmark’s data ecosystem, tools, and workflows.
Contribute to small projects or feature enhancements under the guidance of senior team members.
Learn about the machine learning lifecycle, from data collection to deployment and monitoring.
Lead model enhancements and experiments in contributing to data-driven solutions that support company objectives
By 12+ Months, You Will:
Own end-to-end execution of business critical data science projects with minimal supervision.
Collaborate cross-functionally to contribute models that improve key product and business metrics.
Continue building depth in two or more focus areas such as personalization, computer vision, market place ops, etc.
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 leveraging the power of data to drive meaningful impact across our platform. As a Data Scientist, you’ll work on exciting challenges in personalization, marketing optimization, trust & safety, and enhancing user experience. With over 130 million users generating billions of daily events, you’ll have the opportunity to learn and contribute to machine learning solutions at scale while growing your skills in a supportive, fast-paced environment.
Responsibilities
Drive end-to-end machine learning projects - from problem formulation and data exploration to model development, evaluation, and deployment.
Build scalable, production-ready feature pipelines and models for use cases like personalization, recommendations and ranking.
Collaborate with ML engineers, product managers, and analysts to define success metrics, align on priorities, and drive impact through data science solutions.
Contribute to best practices in model development, experiment design, and model monitoring
Stay current with advances in machine learning and actively contribute ideas for innovation.
Must-Have Qualifications
2+ years of experience in applying data science or machine learning to real-world problems in a production environment
Strong proficiency in Python and SQL for data analysis and model development.
Hands-on experience with ML libraries/frameworks like Scikit-learn, PyTorch, or TensorFlow.
Solid understanding of statistics, probability, and A/B testing concepts.
Ability to translate ambiguous business problems into well-defined, actionable data science objectives
Innovative problem solver with eagerness to learn, strong analytical thinking, and ability to clearly communicate complex technical ideas.
Preferred Qualifications
Experience with personalization, recommendation systems and other Machine learning algorithms.
Exposure to working with big data tools like Spark and cloud services (e.g., AWS, GCP).
Ability to quickly understand, debug and solve model post production issues
Familiarity and Hands on experience with LLMs or GenAI concepts like RAG, PEFT
What You’ll Accomplish In Your First 6 Months
Gain a deep understanding of Poshmark’s data ecosystem, tools, and workflows.
Contribute to small projects or feature enhancements under the guidance of senior team members.
Learn about the machine learning lifecycle, from data collection to deployment and monitoring.
Lead model enhancements and experiments in contributing to data-driven solutions that support company objectives
By 12+ Months, You Will:
Own end-to-end execution of business critical data science projects with minimal supervision.
Collaborate cross-functionally to contribute models that improve key product and business metrics.
Continue building depth in two or more focus areas such as personalization, computer vision, market place ops, etc.