Director of Data Science, Product
About the position 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. Responsibilities • Directly manage a team of ICs (currently 5), setting goals, providing feedback, and fostering growth. • Partner with Product and Engineering leaders to define priorities across search, recs, personalization, analytics, experimentation and DS platforms. • Represent DS perspectives in senior product and cross-functional forums. • Guide your team to deliver with rigor and impact by shaping processes, metrics, and experimentation practices. • Champion best practices in analytics and data science across ThredUp. • Oversee DS-owned infrastructure such as the experimentation platform (Abbacado) and data science pipelines. Requirements • 8+ years of leadership experience overseeing data science, analytics or comparable intelligence teams. • Proven experience managing data scientists, analysts, and ML engineers, with a track record of growing and developing talent. • Ability to define and drive technical and strategic roadmaps, balancing immediate delivery with long-term vision. • Strong collaborator with senior Product, Engineering, and business leaders. • Deep understanding of applied analytics, experimentation, and machine learning in product settings. • Excellent communication skills - able to simplify complex concepts, advocate for your team, and build shared understanding. • Strategic thinker with an innovative, entrepreneurial mindset who thrives on ambiguity. • Experience with large-scale personalization, search, or recommendation systems. Nice-to-haves • Prior ownership of experimentation platforms or DS infrastructure. • Background in e-commerce, marketplaces, or consumer tech. Benefits • 4-day work week, with Fridays off. • Hybrid work environment: 3 days in the office and 1 day remote each week. • Competitive salary (we leverage market data). • Employee stock purchase plan. • Flexible PTO (take the time you need) + 13 company holidays. • Paid Sabbatical after 3 years of full time employment. • Generous paid parental leave for new mothers and fathers. • Medical, dental, vision, 401k, life and disability insurance offered. Apply tot his job