Director, Data Science

Northbeam

3h • $250,000 - $300,000 • Remote

About The Position

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’re experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At Northbeam, you’ll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We’d love for you to be part of our journey.
We’re a remote-friendly company with offices in San Francisco and Los Angeles.
About the Data Science Organization
Northbeam’s Data Science organization serves as the intelligence layer of the company, owning the end-to-end science behind marketing measurement and optimization. This includes developing and advancing our core methodologies—Media Mix Modeling (MMM), Incrementality testing, causal multi-touch attribution (MTA), calibration and validation frameworks, and large-scale experimentation systems. The team is also responsible for AI-driven insights, recommendations, and the creation of reusable, scalable, and rigorously validated scientific systems that power Northbeam’s product and customer value.
About the Role
The Director of Data Science leads the parallel execution of complex technical initiatives across the organization, ensuring excellence in delivery, scientific rigor, and cross-functional alignment. This role oversees the development and evolution of MMM, Incrementality, Insights, and Recommendation engines. In partnership with the VP of data science, the Director will help define and shape the organization for long-term scale—setting strategic priorities, designing team structure and operating practices, and guiding resource allocation to maximize impact.
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, Product and Design 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.

Requirements

• 8+ years in data science or ML engineering roles, including 5+ years managing senior data scientists or technical leads.
• Demonstrated ability to hire, develop, and retain senior technical talent, while building and sustaining a high-performing, inclusive 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.
• Proficiency in Python, R, and SQL; experience with modern data platforms (e.g., BigQuery, Snowflake), MLOps practices, and pipeline orchestration tools.
• Strong communication skills with demonstrated excellence in translating complex statistical concepts for non-technical stakeholders.
• Thrives in a fast-moving startup environment, balancing rigor with speed and pragmatism.
• Cares deeply about your team and their long-term growth and success.

Nice To Haves

• Experience with identity graph, attribution modeling, or experiment design in marketing/advertising contexts.
• Prior work in MarTech/AdTech or B2B SaaS.
• PhD (or equivalent experience) in statistics, econometrics, machine learning, or a related quantitative field.
• Startup Experiences
• Excellent narrative and storytelling abilities, communication skills, and presentation skills.

Responsibilities

• Own and execute the technical roadmap for data science models and scalable, production-grade data products.
• Lead cross-functional initiatives end-to-end—from problem definition through launch—driving clear milestones, accountability, and high quality standards.
• Act as a true peer partner to Engineering, Product and Design, aligning on technical strategy, architectural decisions, and long-term roadmaps.
• Lead teams responsible for developing, validating, and productionizing models, working closely with Engineering to ensure the right data sources, pipelines, and APIs are in place.
• Hire, mentor, and develop top talent while continuously raising the bar through rigorous reviews, coaching, and feedback.
• Deeply 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.

Benefits

• In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan.
• Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave.
• We also provide a $500 work-from-home stipend to support your remote setup.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 11-50 employees