Director of Data Science

About the Role

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.

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. You’ll partner closely with Engineering and Product to shape technical design and product requirements, and collaborate with R&D leadership to build the team and systems that drive continuous innovation and measurement accuracy.

• 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.
• Hire, mentor, and develop top talent while raising the execution quality through effective reviews and coaching.
• 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.

What You Bring

• 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 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
• Strong communication skills with demonstrated excellence in translating complex statistical concepts for non-technical stakeholders.

Bonus Skills & Experience 

• 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.

While we welcome applicants from all locations in the US and Canada, we are prioritizing candidates in San Francisco who are able to work from our downtown SF office a few days/week.