[Hiring] Data Scientist - AI Evaluation @Wizard

Role Description

We’re looking for a Data Scientist to own how we measure, understand and improve the accuracy of our AI agent. This role sits at the intersection of data science, machine learning and product and is focused on evaluation, experimentation and insight generation. You won’t be building models but you will make sure they work in real world scenarios. You will build the systems to measure what good looks like and partner closely with ML, AI Engineering and Product to continuously improve the agent’s performance.

What You’ll Do

• Define and evolve accuracy metrics across the full shopping experience (retrieval, ranking, recommendations and outcomes)
• Design and run experiments to measure improvements and regressions
• Build and maintain evaluation datasets, benchmarks and scoring frameworks
• Translate ambiguous product questions into clear, measurable hypotheses and analysis
• Partner with ML Engineers to validate model changes and guide iteration
• Identify failure modes and edge cases and drive improvements through data
• Create dashboards and reporting that make agent performance visible, trusted and actionable

What Success Looks Like

• Clear, trusted accuracy metrics are consistently used across product and engineering
• A robust automated evaluation framework exists for both offline and live experiments
• Model and product changes are consistently measured before and after launch

Qualifications

• 4-6+ years in Data Science, ML Evaluation or Applied AI or similar roles
• Deep experience evaluating AI/ML systems (ranking, recommendations, LLMs, etc)
• Strong experience with experimentation (A/B testing, causal inference)
• Experience working on consumer products or user facing systems and exposure to marketplace or e-commerce systems
• Ability to translate messy problems into structured analysis and metrics
• Strong product mindset, you care about real user outcomes
• Clear communication with the ability to influence across engineering and product

Compensation & Benefits

The expected base salary range for this role is $225,000 - $280,000 USD, and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities.

• Equity in the form of stock options
• Medical, dental, and vision coverage
• 401(k) plan
• Flexible PTO and company holidays
• Fully remote work within the United States
• Periodic company offsites and team gatherings