Staff Applied Scientist, ThredUp
Marketplace Optimization
$200-235k
+ Discretionary restricted stock unit awards + Employee Stock Purchase Plan
More information about location
Fashion resale platform
Be an early applicant
Fashion resale platform
501-1000 employees
Be an early applicant
$200-235k
+ Discretionary restricted stock unit awards + Employee Stock Purchase Plan
More information about location
501-1000 employees
Company mission
To inspire a new generation to think secondhand first.
Role
Who you are
- 5+ years as a data scientist, applied scientist, ML engineer, or similar role in e-commerce or marketplace contexts
- Proven track record deploying end-to-end systems that scale to millions of users and items in two sided marketplaces
- MS or PhD in Computer Science, Statistics, Economics, Operations Research, or related quantitative field.
- Expert in Python (TensorFlow, PyTorch, scikit-learn, pandas, PySpark) and SQL
- Deep experience building scalable data pipelines, real-time inference layers, and MLOps workflows
- Strong API design skills to ensure easy integration and adoption by cross-functional teams
- Familiarity with databricks (unity catalog, MLFlow)
- Deep understanding of statistics, causal inference, uplift modeling, and experimental design
- Excellent cross-functional communicator—capable of aligning engineering, product, and business teams around AI strategies
- Enthusiastic mentor who shares best practices, writes clear documentation, and empowers others to leverage pricing and promotions tooling
What the job involves
- As the Staff Applied Scientist, you'll join a cross-functional squad of data scientists, engineers, product managers, and marketers to drive strategic decisions across pricing, promotions, and marketplace health
- In this role, you’ll get the chance to build pricing and promotion engines and simulate our complex two sided marketplace in order to drive superior customer, supplier, and profit outcomes
- This role reports to our Director of Marketplace Optimization
- Pinpoint Growth & Profit Levers: Identify high-impact opportunities across pricing, promotions, and marketplace dynamics—leveraging advanced analytics and breakout AI technology to uncover hidden patterns and revenue streams
- Build End-to-End, Scalable ML Solutions: Architect and deploy reinforcement-learning agents for dynamic pricing scale across millions of users and listings. Design intuitive, self-service APIs and dashboards so non-technical teams can launch and monitor experiments with ease
- Blend Causal Inference with AI-Driven Decision Making: Use causal techniques to measure the true impact of price changes, marketing campaigns, and new feature rollouts. Scale inferences and decision making by building contextual bandits and AI agents
- Simulate Our Complex Marketplace: Blend inputs / outputs of our models in order to forecast the performance of our marketplace in response to changes in pricing, supply, new customers, and more, allowing for rapid strategic iteration and decision-making
- Collaborate & Influence: Partner with product, marketing, and engineering teams to co-create pricing and promotional strategies that balance customer value with revenue goals. Evangelize best practices, deliver clear documentation, and mentor stakeholders on self-service tools
- Drive Innovation: Stay at the forefront of AI/ML research—evaluating emerging architectures and methodologies to keep ThredUp’s pricing and promotions systems best-in-class, both in performance and usability
Our take
Over 40% of Gen Z consumers claim to have bought used clothing as opposed to 20% of Gen X and Boomers. Yet, despite this change in fashion trends, consumers must often rely on brick-and-mortar thrift stores and unregulated second-hand eCommerce marketplaces in order to access to find pre-owned clothing.
ThredUp provides an online marketplace for the buying and selling of secondhand fashionwear, offering affordable prices on discount clothing whilst promising a regulated and consistent approach to quality and cleanliness standards. The company acquires its clothing through sellers sending packages of clothing, which the company then sifts through to decide what is sellable and what should be returned.
The company went public in 2021 and immediately acquired Remix, a European second-hand fashion outlet, as part of its international expansion plans. It has however struggled to achieve profitability thanks to global economic turmoil and a glut of new clothing in the fashion industry causing prices to drop sharply. It is focusing on reducing its operating costs and expanding its storage capacity, and is expected by analysts to weather the current conditions in good form.
Freddie
Company Specialist at Welcome to the Jungle
Insights
0% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Aug 2019
$100m
SERIES F
Sep 2015
$81m
SERIES E
Total funding: $232.9m
Company benefits
- Competitive salary (we leverage market data) + stock
- Employee stock purchase plan
- Flexible PTO (take the time you need) + 13 company holidays (US offices)
- 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
Company HQ
Old Oakland, Oakland, CA
Leadership
James Reinhart
(CEO)Has an MBA from Harvard Business School and started out in teaching. Also co-founded the Beacon Education Network.
Share this job
View 4 more jobs at ThredUp