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. We are seeking a Director of Data Science to lead the team that builds the intelligence layer underpinning Northbeam's modern marketing measurement and advanced, data-driven products.
Requirements
- Strong foundation in causal inference, time series analysis, Bayesian modeling, and experimental design.
- Experience designing and deploying ML systems at scale in collaboration with engineering teams; skilled at influencing without direct authority and partnering with engineering, product, and business stakeholders to drive success.
- Proficiency in Python, R, and SQL; experience with modern data platforms (e.g., BigQuery, Snowflake), MLOps practices, and pipeline orchestration tools.
- Proven ability in shaping data infrastructure requirements, aligning with product teams
- Experience with identity graph, attribution modeling, or experiment design in marketing/advertising contexts.
- Familiarity with customer acquisition funnels and enterprise sales cycles.
- Prior work in MarTech/AdTech or B2B SaaS.
Responsibilities
- Own the execution of the technical roadmap for data science models and scalable data products.
- Lead cross functional projects end-to-end—from scoping to launch—with clear milestones, accountability, and quality standards.
- Partner with Engineering and Product to align on milestones, unblock teams, and ensure execution velocity.
- Understand customer pain points and desired outcomes; turn them into clear technical requirements and DS solution designs.
- Recommend and translate statistical outputs and data science models into customer-facing features and enterprise solutions.
- Establish repeatable validation processes for model release and collaborate with Data Engineering to ensure data quality and robust edge-case handling.
Other
- 8+ years in data science or ML engineering roles, including 5+ years managing senior data scientists or technical leads.
- Proven ability to hire, develop, and retain senior technical talent while maintaining a high-performing team culture.
- Master’s degree (or equivalent experience) in statistics, econometrics, machine learning, or a related quantitative field.
- Strong communication skills with demonstrated excellence in translating complex statistical concepts for non-technical stakeholders.
- This is a hands-on leadership role focused on executing the technical roadmap: guiding technical decisions, ensuring project delivery and accountability, and coaching and unblocking the team.
