Product/Ops Data Scientist

Reverb•Chicago, IL

3d•$115,000 - $145,000•Hybrid

About The Position

As a Data Scientist on Product & Operations, you'll combine analytics and applied machine learning to improve how the Reverb marketplace works for buyers and sellers. You'll be the embedded data partner to product managers, engineers, and Customer Support operations leaders, and you'll own the production ML models that help power the marketplace. You'll thrive in this role if you're a curious, hypothesis-driven thinker. You translate ambiguous product and operational questions into focused analyses, balance rigor with speed, and turn complex findings into clear, well-reasoned recommendations with a point of view that drive decisions. This is a full-time hybrid position located in Chicago, reporting to the Director of Analytics. Tuesdays are our all-company in-office day. The Analytics team frequently comes to the office Wednesdays and Thursdays to collaborate, and you’re welcome to join them as often as works for you. The expected starting base pay range for this role is $115,000-$145,0000 plus a 10% bonus target.

Requirements

3+ years of applied experience in a product analytics or data science role partnering with product and/or operations teams at an product/tech company ( eCommerce, B2C, or marketplace company strongly preferred)
Track record of partnering with product and operations stakeholders to frame decisions and influence what gets built
Proven experience using hypothesis-driven thinking to identify and test new opportunities in product and operations
Hands-on experience building, evaluating, and maintaining ML models in a business setting, with an emphasis on creating clean, high-signal data
A pragmatic approach to modeling and analysis: you start with the simplest solution that works and prioritize business impact over sophistication
Strong proficiency of Python and SQL, and experience building actionable reporting in BI tools (Looker, Amplitude)
Working knowledge of experimentation and causal methods (A/B testing, difference-in-differences, propensity score matching, causal impact) and the judgment to pick the right tool for the question

Responsibilities

Serve as a technical and strategic advisor to Product and Customer Support operations teams, using exploratory analysis and root-cause investigations to uncover the drivers of buyer, seller, and operational trends and shape the roadmap
Ground product and operational development in testable hypotheses, estimating impact before launch and measuring it after with the right method for the question (e.g., A/B testing, pre/post, difference-in-differences, causal impact)
Own and improve production machine learning models: building high-signal training datasets, managing retrains, evaluating model performance, and translating tradeoffs into business terms
Build the core metrics, dashboards, self-serve reporting, and enable LLM-assisted analysis that keeps partners informed on how the business, and our models, are performing

Benefits

100% paid premiums for medical, dental, and vision coverage for the employee, spouse or domestic partner, and all eligible dependents. Medical coverage includes gender affirming care.
Life, AD&D, and supplemental long-and short-term disability insurance
A matching 401(k)
A generous PTO policy that includes vacation, sick/mental health days plus 11 paid holidays and two floating holidays
Professional development and continued learning opportunities through access to mentoring, 1:1 coaching, and platforms like Skillsoft
18 weeks of gender-neutral parental leave for the birth or adoption of a child
Up to $25,000 reimbursement of adoption and/or surrogacy related expenses
Paid sabbatical program
Annual work/life stipend
Ways to give back to your community through volunteer time off