Senior Data Scientist

customerio; United States; Remote; USD 140,000 - 150,000; Full time

Benefits offered by this job

Remote work stipend

Wellness stipend

Professional development budget

Unlimited PTO

Parental leave 16 weeks

Job summary

Customer.io is seeking a senior data scientist embedded across Product, Marketing, and Customer Experience to translate behavioral data into clear business direction and improve how customers adopt and stay engaged with the product.

The role focuses on experimentation, lifecycle analytics, and applied ML to influence roadmap decisions, with collaboration across data engineering and non-technical stakeholders.

Qualifications

• 5+ years in a data science role in a B2B SaaS or growth-focused environment.
• Strong foundation in statistics and experimentation design.
• Proficiency in SQL and Python for large-scale analysis.
• Experience with Snowflake or BigQuery; dbt familiarity a plus.
• Ability to communicate complex analyses to product, marketing, and executive audiences.
• Ownership mindset to define problems and drive work forward.

Responsibilities

• Analyze behavioral patterns across the customer lifecycle to surface opportunities that improve adoption, engagement, and retention.
• Design and run experiments and measurement frameworks for evidence-based decisions.
• Build models, datasets, and segmentation approaches to support forecasting and trend identification.
• Apply machine learning and AI techniques to practical problems for internal decision-making and customer-facing scenarios.
• Partner with Data Engineering to improve the quality, reliability, and accessibility of core data assets and metrics.
• Translate complex analyses into clear, actionable recommendations for PMs, marketers, executives, and non-technical stakeholders.

Skills

SQL

Python

Statistics

Experimentation design

Data storytelling

Tools

Snowflake

BigQuery

dbt

Job description

Role overview

A senior individual contributor role embedded in a B2B SaaS messaging platform, partnering with Product, Marketing, and Customer Experience teams to turn behavioral data into clear business direction. The work spans experimentation, customer-lifecycle analysis, and applied machine learning to influence roadmap decisions and improve how customers adopt and stay engaged with the product.

Responsibilities

• Analyze behavioral patterns across the customer lifecycle to surface usage archetypes, trends, and opportunities that improve adoption, engagement, and retention.
• Design and run experiments and measurement frameworks that evaluate product and marketing changes, helping teams make evidence-based decisions.
• Build models, datasets, and segmentation approaches that support forecasting, customer grouping, and trend identification.
• Apply machine learning and AI techniques to practical problems, both for internal decision-making and customer-facing scenarios.
• Partner with Data Engineering to improve the quality, reliability, and accessibility of core data assets and metrics.
• Translate complex analyses into clear, actionable recommendations for PMs, marketers, executives, and non-technical stakeholders.

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 design, and behavioral analytics applied to real product problems.
• Proficiency in SQL and Python for large-scale analysis, modeling, and exploration.
• Experience with modern cloud data platforms such as Snowflake or BigQuery; familiarity with dbt is a plus.
• Demonstrated ability to communicate complex analysis clearly to product, marketing, and executive audiences.
• Ownership mindset with the ability to define problems and drive work forward without waiting for perfect specifications.

Benefits and work setup

• Starting salary of $140,000-$150,000 USD (or local-currency equivalent), subject to market rate adjustment.
• 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for employees and their families.
• 16 weeks of paid parental leave and unlimited PTO.
• Stipends for remote work and wellness, plus a professional development budget.