Director of Data Science, Northbeam

• 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

Desirable

• 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
• 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

• The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager.
• Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members.
• The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time