Senior Data Scientist

Overview

Job Description

Responsibilities

• - Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention.
• - Design experiments and measurement approaches to evaluate the impact of product and marketing changes - and help teams make decisions based on evidence rather than intuition.
• - Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends.
• - Apply machine learning and AI techniques where they solve practical problems, for both internal decision-making and customer-facing scenarios.
• - Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics.
• - Communicate findings clearly and directly so teams can make informed decisions without needing a statistics background.

Required Skills

• - 5+ years of experience in a Data Science role within B2B SaaS or a similar product- or growth-focused environment.
• - Strong foundation in statistics, experimentation, and behavioral analytics - with the ability to apply them pragmatically to real product and business problems.
• - Proficiency in SQL and Python for large-scale analysis, modeling, and exploration.
• - Experience with modern cloud data platforms (Snowflake, BigQuery, or similar); familiarity with dbt is a plus.
• - Strong communication and stakeholder skills - you can explain complex analysis clearly to PMs, marketers, executives, and non-technical partners.
• - An ownership mindset - you help define the problem and move work forward; you don't wait for perfect requirements.

Benefits

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