高级数据科学家
Senior Data Scientist
关于 Customer.io
超过 8000 家公司——从初创企业到全球品牌——使用我们的平台每天发送数十亿封电子邮件、推送通知、应用内消息和短信。Customer.io 驱动自动化沟通，让人们对收到的信息真正感兴趣。我们帮助团队利用实时行为数据发送更智能、更相关的信息。
关于该职位
大家好，我是 Michael，Customer.io 的数据与分析负责人，我正在寻找一位高级数据科学家，帮助我们的团队利用客户和产品数据做出更好的决策。
你将与产品、市场和客户体验团队紧密合作，评估产品变更，设计和分析实验，识别提升客户体验的机会，并影响路线图和业务优先级。这是一个注重实际操作的职位，专注于分析行为、构建模型，并将数据转化为清晰、可操作的方向。
这个职位适合喜欢解决模糊问题、与利益相关者密切合作，并以务实的方式应用数据科学来支持产品和业务决策的人。我们寻找具有主人翁意识、行动导向的人，能够在技术严谨性和实际决策之间取得平衡。
我们重视的品质
主动性：你主动采取行动，从概念到实现推动分析工作。你不等待完美的需求——你帮助定义问题并推动工作向前发展。
好奇心：你自然地质疑假设，深入挖掘用户行为背后的“为什么”。你喜欢在复杂数据中发现模式，并有坚持处理模糊和混乱数据集的毅力。
分析严谨性：你以深思熟虑、结构化的方式进行分析和决策。你知道如何定义有意义的成功指标，以严谨的方式评估变化，并在复杂的用户行为数据中区分信号与噪声，使团队能够自信地采取行动。
沟通能力：你能将复杂的分析概念转化为对产品经理、高管和非技术人员的清晰建议。
协作精神：你作为真正的跨职能合作伙伴，平衡分析严谨性与实际业务需求。你通过让数据易于理解、可操作和可靠来建立信任。
你将负责的工作
- 分析客户生命周期中的行为模式，识别趋势、使用类型以及提升采用率、参与度和留存率的机会。
- 设计实验和测量方法
查看英文原文
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.
- 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 call with Recruiter
- 45-minute call with Hiring Manager
- 45-minute 1:1 Technical Interview
- Take-Home Assignment + 45-minute review call
- 30-minute Final Interview with Stakeholder
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.