Qualifications

• 5-7 years of relevant experience as a Senior Product Data Scientist or Senior Data Scientist
• Hands-on experience with product experimentation including A/B testing and causal inference
• Proficiency in Python, especially with libraries like scikit-learn and MLflow
• Experience in building machine learning models such as GBMs and logistic regression
• Background in both B2B and B2C SaaS environments
• Demonstrated strong cross-functional communication skills with Product Managers, engineers, and designers
• Ability to convey complex model outputs into actionable business recommendations for executives

Responsibilities

• Design and lead rigorous product experimentation programs to enhance adoption and retention
• Build and deploy machine learning models converting product data into actionable insights
• Collaborate with Product, Design, and Engineering teams to frame data problems
• Translate and communicate model outputs into business narratives for senior stakeholders
• Establish best practices for both experimentation and machine learning workflows

Benefits

• Competitive base salary plus equity in a post-Series D company
• Immediate enrollment in health, dental, and vision benefits
• Unlimited paid time off (PTO)
• Home office stipend of $500 and an annual learning and development budget of $1,000
• Flexible working arrangements with hybrid hubs in multiple cities