高级数据科学家
Senior Data Scientist
关于Northbeam
Northbeam正在打造全球最先进的营销智能平台，为顶级电商品牌提供统一的业务数据视图，通过强大的归因建模和可定制的仪表盘。我们的技术帮助客户准确追踪广告支出，了解完整的客户旅程，并推动盈利增长。从一开始，机器学习就是Northbeam的核心：我们全套的测量工具，包括多触点归因、MMM+和增量性，都是基于它构建的，同时还具备高精度的第一方数据。现在，我们进一步利用人工智能，帮助品牌实现数据的自动化运营，并将Northbeam的洞察转化为自动决策。
我们正经历快速增长，产品与市场高度契合，正在寻找合适的人才来帮助我们扩大规模。这是在一家快速发展的高成长公司中产生重大影响的难得机会。在Northbeam，你将加入一个充满动力、协作和才华横溢的团队，他们重视个人成长和卓越表现。我们希望你能成为我们旅程中的一员。
我们是一家支持远程办公的公司，在旧金山和洛杉矶设有实体办公室。
职位描述
我们正在寻找一位高级数据科学家，协助构建和扩展Northbeam的测量产品，包括MMM、增量性、洞察力和推荐系统。
这是一个应用型数据科学岗位，专注于将统计学和因果推断方法转化为可靠、生产级的系统。你将参与测量产品的全生命周期工作——从方法评估和模型开发到实施、部署、监控和客户服务。
该职位强调生产实现和运营责任，与统计方法同样重要。
理想的候选人具备扎实的统计基础，同时拥有建设者思维，能够自如地在建模、软件开发、生产运维和面向客户的解决问题之间切换。
你的影响
- 构建、部署和维护支撑Northbeam测量产品的生产系统。
- 将统计学和因果推断方法转化为可扩展、可靠的面向客户的功能。
- 提升我们测量系统的准确性、覆盖范围、可靠性和操作稳健性。
- 跨整个技术栈调试数据、建模和生产问题，从源数据到面向客户的输出。
- 评估方法论改进的潜力
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About Northbeam
Northbeam is building the world's most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth. Machine learning has been at the heart of Northbeam since day one: our full suite of measurement, spanning multi-touch attribution, MMM+, and incrementality, is built on it, along with laser-accurate first-party data. Now we're taking that foundation further, using AI to help brands operationalize their data and turn Northbeam insights into automated decisions.
We're experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At Northbeam, you'll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We'd love for you to be part of our journey.
We're a remote-friendly company with physical offices in San Francisco and Los Angeles.
About the Role
We are seeking a Senior Data Scientist to help build and scale Northbeam's measurement products, including MMM, Incrementality, Insights, and Recommendation Systems.
This is an applied data science role focused on translating statistical and causal inference methodologies into reliable, production-grade systems. You will work across the full lifecycle of measurement products—from methodology evaluation and model development to implementation, deployment, monitoring, and customer support.
This role emphasizes production implementation and operational ownership as much as statistical methodology.
The ideal candidate combines strong statistical foundations with a builder mindset and is comfortable moving between modeling, software development, production operations, and customer-facing problem solving.
Your Impact
- Build, deploy, and maintain production systems that power Northbeam's measurement products.
- Translate statistical and causal inference methodologies into scalable, reliable customer-facing capabilities.
- Improve the accuracy, coverage, reliability, and operational robustness of our measurement systems.
- Debug data, modeling, and production issues across the full stack, from source data to customer-facing outputs.
- Evaluate methodological improvements pragmatically, balancing statistical rigor, implementation complexity, maintainability, and business value.
- Partner closely with teammates across Data Science, Engineering, Product, and Customer Success to improve measurement quality and product capabilities.
- Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to improve Northbeam's products.
What You Bring
- Bachelor's degree (MS or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field.
- 5+ years of experience building and deploying data science, machine learning, or AI systems in production environments.
- Strong foundation in statistics, machine learning, experimentation, and causal inference, with experience applying these methods to solve real-world business problems.
- Strong coding and debugging skills, with the ability to write production-quality code that is maintainable, testable, and reliable.
- Experience implementing, deploying, and supporting statistical or machine learning systems in production environments.
- Ability to debug issues across the full stack, including source data, data pipelines, model logic, production services, and customer-facing outputs.
- Experience owning projects end-to-end, from problem definition and methodology evaluation through production deployment and operational support.
- Comfortable working in a fast-paced startup environment and driving projects from concept to production with a high degree of autonomy.
- Strong communication skills and the ability to explain technical concepts to both technical and non-technical audiences.
- Growth mindset, intellectual curiosity, and a willingness to learn new domains, technologies, and measurement methodologies.
Base Salary Range
$170,000—$200,000 USD
Actual compensation may vary based on experience, skills, and location.
In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup.
Interview Process
The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager. Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time.
We accept applications on an ongoing basis.