Product Data Scientist

Summary

Join Constructor's Agent Products team as an entrepreneurial Data Scientist and help shape AI-powered shopping agents. You will define success metrics, drive product strategy, and reinvent how millions discover products online. This role involves uncovering actionable insights from user behavior, validating changes through A/B testing, and collaborating with cross-functional partners. You will also define, monitor, and visualize KPIs, build and maintain data tables, and improve analytical efficiency. The ideal candidate has 2+ years of experience in data science or a similar analytical role and thrives in fast-paced environments. Constructor offers a fully remote work environment, unlimited vacation time, a work-from-home stipend, Apple laptops, a training and development budget, maternity/paternity leave, and regular team offsites.

Requirements

• You have 2+ 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

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

Preferred 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
• Regular team offsites to connect and collaborate