Data Scientist

What you'll do

• Build and maintain pricing metrics, dashboards, and frameworks.
• Run experiments and causal analyses to measure impact and drive business decisions.
• Develop predictive and statistical models to improve pricing accuracy.
• Manage the end-to-end machine learning lifecycle from data acquisition to deployment and monitoring.
• Translate complex analytical findings into clear narratives for executive strategy.
• Define success metrics and navigate trade-offs for ill-defined problems.
• Influence product roadmaps by partnering with Engineering and Operations teams.

What we're looking for

• At least 8 years of experience in data science, product analytics, or a similar quantitative role.
• Deep statistical reasoning skills including hypothesis design, experimental design, and causal inference.
• Proven end-to-end machine learning ownership from data acquisition to deployment and monitoring.
• Proficiency in SQL and Python for working with production data pipelines and modern ML tools.
• Ability to translate complex analytical findings into clear business recommendations for cross-functional stakeholders.
• Experience solving ill-defined problems by defining success metrics and navigating trade-offs.
• High standard for data quality including disciplined validation and bias analysis.
• Strong communication skills to explain technical model insights to both technical and non-technical audiences.