Teams at Northbeam

Applied Data Scientist focused on incrementality, causal inference, experimentation, Marketing Mix Modeling, and predictive products. The role partners directly with customers to interpret data, diagnose measurement issues, explain statistical results, and provide actionable recommendations. Responsibilities include building diagnostic tools, analyzing model and experiment outcomes, improving methodologies and production capabilities, and collaborating with Product, Engineering, Media Strategy, Customer Success, and senior data scientists.

Own end-to-end technical onboarding for new customers, including product configuration, permissions, workflows, API integrations, data migration, troubleshooting, and go-live. Manage implementation timelines, milestones, risks, and deliverables while coordinating with customers and internal Sales, Customer Success, Product, Support, and Engineering teams. Contribute to onboarding documentation and playbooks.

Build and maintain reliable data pipelines, APIs, integrations, and event-driven or batch processing systems. Transform data from advertising, ecommerce, order management, and event sources while improving monitoring, freshness, performance, and scalability. Collaborate with data engineering, infrastructure, product, and business teams to extend the integration platform in a cloud-native, multi-tenant environment.