Senior Data Scientist, Northbeam
$170-200k
+ Equity
Marketing intelligence platform
Open for applications
Marketing intelligence platform
21-100 employees
Open for applications
$170-200k
+ Equity
21-100 employees
Company mission
The new standard for eCommerce intelligence.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Application 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
Our take
Traditionally in-person stores used a plethora of consultants, accountants and agencies to seek improvements that would boost their bottom line. Now, in the age of internet-enabled commerce, data richness and a totally new customer acquisition landscape has made those services irrelevant.
Instead, startups like Northbeam have emerged to fulfil those roles for the modern age. In particular, Northbeam provides services for eCommerce intelligence. That means applying machine learning and first-party data to drive more efficient and scalable marketing strategies.
Its recent integration with MNTN highlights how that role is evolving even further, bringing channels like connected TV into a single, trusted measurement framework. By replacing fragmented reporting and intuition with clear, data-backed insights, Northbeam is positioning itself as essential infrastructure for modern eCommerce decision-making.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Aug 2022
$15m
SERIES A
Total funding: $15m
Company HQ
SoMa, San Francisco, CA
Leadership
Austin Harrison
(CEO)Previously helped build the first audience panel for NetRatings which went public in 1999 and Nielsen acquired the last 40% in 2007 for $327M.
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