Data Analyst, AI Shopping Agents

We're building the next generation of ecommerce, creating entirely new ways for shoppers to discover products. As an entrepreneurial Data Scientist on our Agent Products team, you’ll help shape AI-powered shopping agents — from intelligent search to personalized product assistance. Join us to define success metrics, drive product strategy, and reinvent how millions discover products online.

Responsibilities

• Drive product strategy by uncovering actionable insights from user behavior and validating changes through A/B testing

• Define, monitor, and visualize key performance indicators (KPIs) through dashboards for all levels of the company

• Collaborate with cross-functional partners in engineering, product management, design, and user research

• Build and maintain clean, reliable data tables to improve analytical efficiency and democratize data access for the entire team

Who You Are

• You have 3+ years of experience in data science or a similar analytical role, with a proven track record of thriving in fast-paced, consumer-focused environments

• A proactive and autonomous self-starter, you excel at navigating ambiguity and taking full ownership of complex projects from start to finish

• An excellent communicator, you can effectively translate business needs into technical requirements and vice-versa

Qualifications

• Previous experience as a data scientist in a startup or e-commerce environment

• Expert-level SQL proficiency for complex data exploration and transformation

• Hands-on experience with Python and PySpark for data analysis

• Experience with our data stack, including Databricks, Redash (or similar tools like Looker), and other BI tooling

• Basic understanding of data pipeline development and ETL processes

• Knowledge of OLAP technologies, particularly Cube or similar semantic layer tools

• Ability to build and maintain data pipelines to power analytical applications

• Experience with data orchestration tools (e.g., Airflow, Dagster, Prefect)

• Experience implementing data quality monitoring and testing frameworks

Benefits

• 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year

• 🌎 Fully remote team - choose where you live 

• 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office 

• 💻 Apple laptops provided for new employees

• 🧑‍🎓 Training and development budget for every employee, refreshed each year

• 👪 Maternity & Paternity leave for qualified employees

• 🧠 Work with smart people who will help you grow and make a meaningful impact

• 💵 This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results.

• 🎉 Regular team offsites to connect and collaborate