Northbeam

Director, Data Science

Northbeam

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $220,000 - $245,000 per year

Job Level

Lead

Tech Stack

BigQueryPythonSQL

About the role

  • Lead the team that builds the intelligence layer underpinning Northbeam's marketing measurement and data-driven products
  • Hands-on leadership focused on executing the technical roadmap, guiding technical decisions, and ensuring project delivery and accountability
  • Coach, mentor, and unblock the team; hire and develop top talent
  • Partner closely with Engineering and Product to shape technical design, align milestones, and ensure execution velocity
  • Collaborate with R&D leadership to build systems that drive continuous innovation and measurement accuracy
  • Own 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 and quality standards
  • Translate customer pain points into 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

Requirements

  • 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
  • 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: Experience with identity graph, attribution modeling, or experiment design in marketing/advertising contexts
  • Bonus: Familiarity with customer acquisition funnels and enterprise sales cycles
  • Bonus: Prior work in MarTech/AdTech or B2B SaaS