Senior Data Scientist

📋 Description

• Analyze customer behavior across the lifecycle to improve adoption and retention.
• Design experiments and metrics to evaluate product and marketing changes.
• Build models and datasets to segment customers, forecast outcomes, and identify trends.
• Apply ML and AI to solve practical problems for internal decisions and customer-facing use.
• Partner with Data Engineering to improve data quality, reliability, and accessibility.
• Communicate findings clearly to Product, executives, and non-technical stakeholders.

🎯 Requirements

• 5+ years in data science in a B2B SaaS or similar product-focused environment.
• Strong stats, experimentation, and behavioral analytics applied to product problems.
• SQL and Python for large-scale analysis and modeling.
• Experience with Snowflake/BigQuery or similar; dbt is a plus.
• Strong communication with PMs, marketers, executives.
• Ownership mindset; define problems and move work forward.

🎁 Benefits

• 100% coverage of medical, dental, vision, mental health, and supplemental insurance for you and your family.
• 16 weeks paid parental leave.
• Unlimited PTO.
• Stipends for remote work and wellness.
• Professional development budget.