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 expertise in AI, personalization, and advanced analytics with your leadership skills to drive impactful data science initiatives. Reporting to the Director of Product Data Science, you’ll tackle complex challenges like building cutting-edge recommendation systems, leveraging large language models (LLMs), and optimizing customer experiences through traditional A/B testing and analytics. You’ll lead large projects, mentor team members, and collaborate with cross-functional teams to shape our strategy and delight customers with data-driven innovation.

In This Role You’ll Get To:

• Be a Technical Lead: Oversee the design, development, and deployment of data science solutions, including AI-driven personalization engines, recommendation systems, and NLP applications using LLMs.

• Manage Large Projects:Take ownership of end-to-end initiatives, collaborating with cross-functional teams, managing stakeholder expectations, and ensuring timely delivery of impactful outcomes.

• Conduct Advanced Analytics: Design and analyze experiments (e.g., A/B tests) and generate actionable insights to optimize the customer experience and drive business growth.

• Drive AI Innovation:Implement state-of-the-art machine learning algorithms and techniques, including deep learning and reinforcement learning, to address challenges like predictive analytics and personalization.

• Collaborate and Mentor: Work closely with Product Managers, Engineers, and Data Scientists to define project goals, while mentoring junior team members to elevate the overall technical expertise of the team.

• Enhance Infrastructure:Partner with engineering teams to improve data pipelines, tooling, and infrastructure, enabling efficient experimentation and analysis at scale.

• Communicate Results: Translate complex technical analyses into actionable insights, clearly communicating findings to both technical and non-technical stakeholders, including senior leadership.

• Stay Ahead of Trends: Continuously research and incorporate emerging trends in AI, machine learning, and data science to ensure our solutions remain cutting-edge.

What We’re Looking For:

• Experience: 6+ years in data science, machine learning, or a related field, with a demonstrated track record of leading technical projects and managing multiple stakeholders. A graduate degree (Master’s or Ph.D.) in Data Science, Computer Science, Statistics, or a related quantitative field, or equivalent industry experience.

• Technical Expertise: Proficiency in Python and SQL, along with experience in machine learning frameworks (e.g., PyTorch, TensorFlow) and deploying models at scale.

• AI Specialization: Deep experience in personalization, recommendation systems, deep learning, reinforcement learning, and natural language processing (NLP) using LLMs.

• Experimental Design: Strong expertise in designing and analyzing experiments, including A/B tests and advanced statistical methods.

• Project Leadership:Proven ability to manage large-scale projects, align stakeholders, and deliver impactful results in a fast-paced environment.

• Communication Skills: Exceptional ability to communicate complex technical concepts clearly and effectively to a variety of audiences.

• Collaboration: Experience partnering with product, engineering, and business teams to develop and implement data-driven solutions.

• Visualization Tools: Proficiency in data visualization platforms such as Looker, Tableau, or similar tools.

• Growth Mindset: Eager to take on challenges, learn new skills, and mentor others to build a strong team culture.

• Preferred: Background in e-commerce, marketplaces, or a related industry, with a focus on user behavior and optimization.

At ThredUp, your base pay is one part of your total compensation package. This role pays between $210,000 and $230,000, and your actual base pay will depend on your skills, qualifications, experience, and location.

Many ThredUp employees also have the opportunity to own shares of ThredUp stock. ThredUp employees are eligible for discretionary restricted stock unit awards, as well as a discount when purchasing ThredUp stock if voluntarily participating in ThredUp’s Employee Stock Purchase Plan. Subject to eligibility requirements, you’ll also receive other benefits: Comprehensive medical & dental coverage, vision, 401k, life and disability insurance.

What We Offer

• 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)

• Many ThredUp employees also have the opportunity to own shares of ThredUp stock and are eligible for discretionary restricted stock unit awards

• 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

• We live by our Core Values of Transparency, SpeakingUP, Thinking Big, Infinite Learning, Influencing Outcomes & Seeking the Truth

We believe diversity, inclusion and belonging is key for our team

At ThredUp, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.

If you are a candidate with a disability and have a reasonable accommodation request for the job application process, please emaildisabilitysupport@ThredUp.comthe specific details of your disability related accommodation request. This email address is reserved for candidates with disabilities only. General application inquiries will not receive a response.

Place of work