Senior Data Scientist

🕒 May 26

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Customer.io

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

☁️ SaaS

💰 Series A on 2022-03

SaaS • Marketing

Customer. io is a customer engagement platform that helps businesses create personalized journeys across multiple channels, such as email, SMS, and in-app messaging, by leveraging first-party data. The platform offers solutions for crafting and automating messages with high flexibility and customization. It includes features such as data pipelines for managing customer data, visual workflow builders for automation, and tools for analytics and A/B testing to optimize messaging campaigns. Designed to scale with businesses of all sizes, Customer. io integrates with existing tools and provides a secure, compliant environment with high uptime, making it a trusted choice for over 7,400 brands globally.

📋 Description

• 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.

🎯 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 - 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