Senior Data Scientist, Product

About ThredUp

ThredUp is transforming resale with technology and a mission to inspire the world to think secondhand first. By making it easy to buy and sell secondhand, ThredUp has become one of the world's largest online resale platforms for apparel, shoes and accessories. Sellers love ThredUp because we make it easy to clean out their closets and unlock value for themselves or for the charity of their choice while doing good for the planet. Buyers love shopping value, premium and luxury brands all in one place, at up to 90% off estimated retail price. Our proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software and systems and data science expertise. With ThredUp’s Resale-as-a-Service, some of the world's leading brands and retailers are leveraging our platform to deliver customizable, scalable resale experiences to their customers. ThredUp has processed over 172 million unique secondhand items from 55,000 brands across 100 categories. By extending the life cycle of clothing, ThredUp is changing the way consumers shop and ushering in a more sustainable future for the fashion industry.

Recognized on TIME Most Influential Companies of 2023, Digiday's WorkLife 50 2023, TIME's Best Inventions of 2022, and Lattice's People Success Awards 2022.

How You Will Make An Impact:

As a Senior Data Scientist, you will combine your technical expertise with your communication skills to own the development of AI and ML models for personalization and product innovation across the marketplace. Reporting to the Director of Product Data Science, you’ll build retrieval & ranking models for product recommendations, leverage multimodal embedding models to create new customer experiences, and identify opportunities through A/B testing & analytics. You’ll own the development of new ML models or major upgrades to existing models, partnering across technical and business teams to deliver experiences that delight our customers.

In This Role You’ll Get To:

• Build and Deploy Models: Own end-to-end development of new AI/ML models and major upgrades to existing models used for personalization and the broader marketplace. Put models into production in partnership with engineering partners.
• Quantify Impact: Design and analyze experiments (e.g., A/B tests) to measure impact of AI/ML models, optimize the customer experience, and drive business growth.
• Enhance Infrastructure: Partner with engineering teams to improve data pipelines, tooling, and infrastructure, enabling efficient experimentation and analysis at scale.
• Communicate Cross-functionally: Communicate progress and results to both technical and non-technical stakeholders, including senior leadership. Manage stakeholder expectations, effectively guiding conversations on tradeoffs and timelines.
• Collaborate Across Teams: Work closely with Product Managers, Engineers, and Data Scientists to define solutions, educating cross-functionally to elevate the overall technical expertise of the team.
• Contribute to Innovation: Stay aware of emerging trends in AI, machine learning, and data science to advance our AI/ML solutions.

What We’re Looking For:

• 5-7 years in data science, machine learning, or a related field, with a demonstrated track record of owning model upgrades or building new models in a real-world context
• MS or PhD in Computer Science, Data Science, Engineering, or a related quantitative field, or equivalent industry experience
• Proficiency in Python and SQL, along with experience in machine learning frameworks (e.g., PyTorch, TensorFlow) and deploying models at scale
• Expertise in deep learning and predictive modeling, including owning evaluation of models via A/B testing. Prior experience implementing recommender systems and working with multimodal embedding models is a plus.
• Given a defined project, proven ability to define the path forward and deliver results in a timely manner, thinking ahead to mitigate risks and driving alignment on tradeoffs
• Exceptional ability to communicate complex technical concepts clearly and effectively to a variety of audiences. Able to collaborate across technical and business teams to deliver outcomes in a fast-paced environment.
• Demonstrated growth mindset. Eager to take on challenges, learn new skills, and mentor others to build a strong team culture.
• Background in e-commerce, marketplaces, or a related industry

What We Offer:

• Monthly allowance for insurance/education ($200 gross).
• 50% paid sabbatical after 3 year anniversary.
• Paid parental leave for new mothers and fathers.
• IT Kit.