Customer.io
SeniorDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist at Customer.io. Skills: Behavioral analysis, Experimentation, Statistical modeling, Machine learning. Analyze behavioral patterns. Identify trends”
Industry & Context.
Solving ambiguous problems; Analytical rigor
What They're Looking For.
Must Have
5+ years of experience in a Data Science role, foundation in statistics, foundation in experimentation, foundation in behavioral analytics, Proficiency in SQL, Proficiency in Python
Nice to Have
familiarity with dbt
What You'll Do.
Analyze behavioral patterns
Identify usage archetypes
Identify opportunities to improve adoption
Identify opportunities to improve engagement
Identify opportunities to improve retention
Design measurement approaches
Evaluate impact of product changes
Evaluate impact of marketing changes
Improve customer segmentation
Improve outcome forecasting
Improve trend identification
Apply machine learning techniques
Improve data reliability
Improve data accessibility
Communicate findings clearly
How You'll Work.
Team & Collaboration
Partner closely with Product; Partner closely with Marketing; Partner closely with Customer Experience; Partner with Data Engineering; Work with stakeholders; Explain complex analysis to PMs; Explain complex analysis to marketers; Explain complex analysis to executives; Explain complex analysis to non-technical partners
Communication Scope
Translate complex analytical concepts; Explain complex analysis clearly
Full Job Description
About Customer.io Over 8,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. About the role Hi, my name is Maria Culkin, Analytics Manager at Customer.io, and I'm looking for a Senior Data Scientist to help our teams make better decisions using customer and product data. You'll partner closely with Product, Marketing, and Customer Experience to evaluate product changes, design and analyze experiments, identify opportunities to improve the customer experience, and influence roadmap and business priorities. This is a hands-on role focused on analyzing behavior, building models, and turning data into clear, actionable direction. This role is ideal for someone who enjoys solving ambiguous problems, working closely with stakeholders, and applying data science pragmatically to support product and business decisions. We're looking for someone with an ownership mindset and a bias for action who balances technical rigor with practical decision-making. What we value Ownership: You take initiative and drive analytical work from concept to implementation. You don't wait for perfect requirements — you help define the problem and move the work forward. Curiosity: You naturally question assumptions and dig deeper into the "why" behind user behavior. You enjoy uncovering patterns in complex data and have the persistence to work through ambiguity and messy datasets. Analytical Rigor: You bring a thoughtful, structured approach to analytics and decision-making. You know how to define meaningful measures of success, evaluate changes with rigor, and distinguish signal from noise in complex behavioral data so teams can act with confidence. Communication: You can translate complex analytical concepts into clear recommenda
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