Northbeam
via Greenhouse
Senior Data Scientist
Posted 368 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 3 hours ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 368d ago
The date the source published, not the day we noticed it (2025-09-11). Last seen at its source 3h ago.
Is it remote?
Remote - USA
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$170k–200k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 11d ago · last seen 3h ago
The listing
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.
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.