# Senior Data Scientist Remote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md) +1 more, [LATAM](https://jobicy.com/job-region/latam.md)Salary, yearly, USD 140,000 - 150,000Department [Data Science & Analytics](https://jobicy.com/categories/data-science.md) Employment type Full Time, Job posted28 Jun 2026Apply before28 Jul 2026Experience level Senior Views / Applies 453 / 39 [About company](https://jobicy.com/company/customer-io.md) * Share About [Customer.io](https://jobicy.com/company/customer-io.md) Send better messages. [Computer Software](https://jobicy.com/company-category/software.md) * 2012 Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance. ### AI Summary Customer.io is seeking a Senior Data Scientist to partner with Product, Marketing, and Customer Experience teams. The role involves analyzing behavioral data, designing experiments, building models, and influencing business decisions. The ideal candidate has 5+ years of experience in B2B SaaS, strong SQL and Python skills, and an ownership mindset. This position offers the opportunity to shape data science practices in a high-impact environment. ### Role DNA Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative AI Insight The role requires advanced technical skills, stakeholder management, and solving ambiguous problems, making it challenging but not the highest difficulty. ### Salary Analysis Median Highly Competitive USD145,000US Market USD120k – 170k 0 USD187k AI Insight The offered salary range of $140,000-$150,000 is competitive and aligns well with the market median for senior data scientist roles in the US. It reflects the role's seniority and the company's location (likely remote-friendly). ### Core Skills Required [Data Science](https://jobicy.com/jobs?search_keywords=Data+Science.md) [SQL](https://jobicy.com/jobs?search_keywords=SQL.md) [Python](https://jobicy.com/jobs?search_keywords=Python.md) [Experimentation](https://jobicy.com/jobs?search_keywords=Experimentation.md) [Statistical Analysis](https://jobicy.com/jobs?search_keywords=Statistical+Analysis.md) [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine+Learning.md) [B2B SaaS](https://jobicy.com/jobs?search_keywords=B2B+SaaS.md) [Behavioral Analytics](https://jobicy.com/jobs?search_keywords=Behavioral+Analytics.md) [Stakeholder Management](https://jobicy.com/jobs?search_keywords=Stakeholder+Management.md) [Cloud Data Platforms](https://jobicy.com/jobs?search_keywords=Cloud+Data+Platforms.md) ### Cover Letter Sample Dear Hiring Manager, I am writing to express my strong interest in the Senior Data Scientist position at Customer.io. With over 5 years of experience in B2B SaaS, I have developed a robust skill set in statistical analysis, experimentation, and machine learning, which aligns perfectly with the requirements of this role. In my previous role, I partnered closely with product and marketing teams to design experiments and analyze customer behavior, driving improvements in engagement and retention. I am proficient in SQL and Python, and have experience with modern cloud data platforms like Snowflake. I am particularly drawn to Customer.io's emphasis on ownership and curiosity. I thrive in ambiguous environments and enjoy turning complex data into actionable insights. I am confident that my analytical rigor and communication skills would make me a valuable addition to your team. Thank you for considering my application. I look forward to the opportunity to discuss how I can contribute to Customer.io's success. Sincerely, [Your Name] Copy ### Sample Interview Questions Can you describe a time you designed and analyzed an A/B test for a product change? What challenges did you face and how did you address them?At my previous company, we tested a new onboarding flow. The main challenge was low sample size for certain user segments. I used Bayesian methods to incorporate prior information and provided probabilistic interpretations. I also worked with engineering to ensure proper randomization and logging.How do you approach communicating complex analytical findings to non-technical stakeholders?I focus on the key business impact and use visualizations to illustrate trends. I avoid jargon and instead use analogies. For example, I might compare experiment results to a simple coin flip example. I also provide clear recommendations and next steps.Describe a project where you used machine learning to solve a practical business problem. What was the outcome?I built a churn prediction model using gradient boosting. The model identified high-risk users, allowing the marketing team to run targeted retention campaigns. This reduced churn by 15% over six months. I also set up a pipeline for real-time scoring.How do you handle ambiguous problems where the requirements are not well-defined?I start by clarifying the business objective and framing the problem as a hypothesis. I then explore the data to identify patterns and iterate with stakeholders. I break the problem into smaller parts and prioritize based on impact. I also document assumptions.Can you give an example of how you've influenced product roadmap decisions using data?I analyzed user behavior data and found that a feature was rarely used but had high engagement among power users. I presented this to the product team, recommending we invest in improving discoverability for new users. This led to a redesign that increased adoption by 20%. ## About [Customer.io](http://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](http://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](http://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 →](https://customer.io/careers#:~:text=our%20collective%20success.-,BENEFITS,-Our%C2%A0) ## 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](http://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](http://customer.io/) letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact [jobs@customer.io](mailto:jobs@customer.io). ## Join us! Check out our [careers page](https://customer.io/careers/) for more information about why you should [come work with us!](https://customer.io/about/) We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now. Show more [Apply now >](https://jobicy.com/jobs/144856-senior-data-scientist-4.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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