Senior Data Scientist

About Customer.io

Over 7,500 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.

Hi there! We’re looking for a Senior Data Scientist to join our central Data team — the Center of Excellence for Data at Customer.io. Our team partners across the business to deliver insights, predictive models, and data-powered strategies that accelerate growth. In this role, you’ll collaborate with Product, Marketing, Sales, and Customer Experience to design and deploy models that forecast outcomes, identify opportunities, and prescribe the best paths forward. You’ll be a trusted advisor who helps shift our company from reporting on the past to predicting and shaping the future.

What we value

• Curiosity and rigor — you dive deep into data, asking the right questions and testing assumptions.
• Collaboration and ownership — you partner across functions, take initiative, and see work through to real-world impact.
• Applied machine learning — you use statistical and ML models to solve real business problems, not just build for the sake of building.
• AI-first mindset — you’re energized by the opportunity to apply predictive and prescriptive analytics in ways that scale across the business and product.
• Impact-oriented storytelling — you can distill complex modeling results into clear, actionable insights for executives and operators alike.

What you’ll do

• Design and deploy predictive models that improve customer acquisition, conversion, and retention (e.g., lead scoring, customer health, product adoption forecasts).
• Partner with Product, Revenue, and CX teams to identify opportunities where modeling and experimentation can drive measurable business outcomes.
• Build prototypes and production-ready models in Python, leveraging our modern data stack (Snowflake, dbt, etc.) for scalable development and deployment.
• Collaborate with data engineering to ensure clean, reliable, and extensible data pipelines for advanced analytics and ML use cases.
• Translate modeling outputs into clear recommendations and decision frameworks for senior leaders.
• Contribute to the design of analytics capabilities that can extend into our products, creating differentiated customer-facing insights.

What we're looking for

• 5–7 years of experience in data science, applied machine learning, or advanced analytics, with a proven track record of driving impact.
• Strong SQL and Python skills — able to wrangle large datasets efficiently and build end-to-end analyses and models.
• Experience with forecasting, classification, or scoring models applied in business contexts.
• Familiarity with modern data workflows and tools (dbt, Snowflake, Hex, Streamlit).
• Strong communication skills, with the ability to explain complex models and tradeoffs to non-technical stakeholders.
• Bonus: experience embedding ML insights into applications or customer-facing products.

Compensation & Benefits

We believe in transparency. Starting salary for this role is $173,000 (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 call with Maria (Recruiter)
• 45-minute call with Hiring Manager
• 30-minute calls with 4 potential team members
• Take-Home Assignment + 45-minute review call

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.