Senior Data Scientist, B2B SaaS — Growth & Insights

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

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.