Senior Data Scientist

Responsibilities:

• Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure.
• Leverage AI-powered analytics tools and data agents to accelerate insight generation and automate repeatable analysis.
• Define and evolve measurement frameworks for product health, customer lifecycle, and AI-powered product experiences.

Requirements:

• 4+ years of experience working with data as a Data Scientist, Product Analyst, or Analytics Engineer in an applied business setting.
• Strong foundation in SQL, Python (or R), statistics, and machine learning.
• Experience designing and evaluating experiments, predictive models, and other statistical analyses to inform product decisions.

Benefits:

• Industry-competitive salary and equity.
• Comprehensive medical, dental, and vision coverage with 100% of employee-only premium for most plans.
• 16 weeks paid Parental Leave for all new parents, plus flexible PTO and 80 hours sick time.