Strategic Overview
Senior Data Scientist at Customer.io is defined by the responsibilities and candidate requirements in the employer's listing.
The published role emphasizes work such as Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention.
The role is listed for LATAM, Canada, United States with a remote working arrangement, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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.
Key Responsibilities & Objectives
- 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.
Required Qualifications & Candidate Blueprint
- 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.
Salary & Benefits
Published compensation: USD 140,000 – 150,000 / yearly
- We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family .
Salary Benchmark
This role’s published compensation is compared with active employer-disclosed ranges for the same role at the Senior level, in the same currency and pay period.
Benchmark uses active employer job postings in our database, excludes this listing, and matches the currency and pay period. It is not a third-party salary estimate; currencies are not converted.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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 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.
- 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.
Why This Role
This role offers the opportunity to work on high-impact problems across the business while helping shape how data science and analytics evolve within the organization. You'll have the autonomy to explore meaningful questions, influence strategy, and help build a stronger data-informed culture.
Compensation & 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.
We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
- 30-minute video call with Recruiter
- 45-minute video call with Hiring Manager
- 45-minute Technical Interview with Team Member
- Take-Home Behavioral Analytics Assignment
- 60-minute Case Review with Team
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.
Join us!
Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention. — rather than a generic title alone.
Resume & Application Strategy
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