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.
Requirements
- Solid foundation in statistics, machine learning, and causal inference with experience applying these methods to business problems. Examples: regression, time series analysis, A/B testing, Bayesian modeling, signal processing.
- Proficiency in Python/R, SQL, and experience with data platforms and statistical modeling libraries.
- 2+ years of experience in marketing attribution, MMM, experimentation, or related measurement challenges.
- Experience developing and validating production models that drive real business decisions.
- Familiarity with MLOps practices and data pipeline orchestration tools.
Responsibilities
- Support both new and existing data science–powered products.
- Contribute to forecasting and experimentation capabilities, improving model accuracy and expanding measurement coverage.
- Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to enhance Northbeam's product suite.
- Collaborate with engineering and product teams to translate customer needs into technical requirements.
- Provide technical expertise and support for non-technical stakeholders, both internal and external.
Other
- 6+ years experience in Data science and ML roles.
- Experience with (or enthusiasm about) working in a small, fast-paced company, and desire to drive the implementation of projects start-to-finish.
- Strong growth mindset, desire to learn marketing measurement concepts and develop customer-facing skills.
- Comfort explaining technical concepts to non-technical audiences and troubleshooting customer issues.
- Bachelor's degree (MS preferred) in Mathematics, Computer Science, or a highly quantitative STEM field.
