Customer.io
Senior Data Scientist
Remote work allowed only within certain countries or regions.
North America
Employer listed it 3 months ago · Added 4 days ago
Been open since 3 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$140,000–$150,000
Location
North America
Timezone
US East
Contract
Full-time
Experience
Senior
Category
Data
Stated by the employer in the job description
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in North America.
What the employer says
- Source listing states candidate location: "Americas Remote"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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 Michael, Head of Data & Analytics 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 recommendations for Product Managers, executives, and non-technical stakeholders.
Collaboration: You work as a true cross-functional partner, balancing analytical rigor with practical business needs. You build trust by making data approachable, actionable, and reliable.
What you'll do
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.
What we're looking for
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.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
- ·We believe in transparency. Starting salary for this role is $140,000-$150,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.
- ·See full benefits here →
- ·No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
- ·30-minute call with Recruiter
- ·45-minute call with Hiring Manager
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Customer.io, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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