Senior Data Scientist

Stack

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
• ▹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 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

Requirements

• ▹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, applied 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)
• ▹Strong communication and stakeholder skills - explaining complex analysis clearly to PMs, marketers, and executives
• ▹An ownership mindset - helping define the problem and move work forward without waiting for perfect requirements

Nice to have

• ▹Familiarity with dbt

Soft skills

What we offer

• ▹Starting salary $140,000-$150,000 USD (or equivalent in local currency) depending on experience
• ▹100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for employee and family
• ▹16 weeks paid parental leave
• ▹Unlimited PTO
• ▹Stipends for remote work and wellness
• ▹Professional development budget

About the company

Customer.io's platform is used by over 8,000 companies - from scrappy startups to global brands - to send billions of emails, push notifications, in-app messages, and SMS every day, helping teams send smarter, more relevant messages using real-time behavioral data.