Northbeam - Data Scientist

• Your Impact • Partner with customers and internal teams to understand important marketing measurement questions and translate them into data science problems. • Work with real-world customer data to ensure it is reliable and appropriate for modeling and measurement. • Analyze model and experiment results, investigate unexpected outcomes, and identify potential data, modeling, or measurement issues. • Translate complex statistical and modeling results into clear insights and actionable recommendations. • Partner with Senior Data Scientists on more complex methodological and modeling problems. Collaborate with cross-functional peers to support clients with the practical application. • Identify recurring challenges and opportunities to improve our models, diagnostics, tooling, and processes. • Build reusable analysis and diagnostic tools that make measurement more reliable and scalable. • As you grow in the role, contribute to the development of new methodologies, models, and production measurement capabilities. • Bachelor's degree (MS preferred) in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field. • 2+ years of experience building and deploying data science, machine learning, or AI systems in production, ideally including direct client- or customer-facing work. • Strong foundation in statistics, machine learning, experimentation, and causal inference, with genuine enthusiasm for explaining these methods to non-technical audiences. • Excellent verbal and written communication skills—comfortable leading a customer conversation, explaining a modeling tradeoff to a non-technical stakeholder, and writing up findings clearly. • Strong coding and debugging skills, with the ability to write production-quality code and diagnose issues across the full stack, including source data, pipelines, model logic, and customer-facing outputs. • A service-oriented mindset: energized by direct, hands-on customer problem-solving, not only methodology for its own sake. • Comfortable working in a fast-paced startup environment and driving projects from concept to production with a high degree of autonomy. • Growth mindset, intellectual curiosity, and a willingness to learn new domains, customer verticals, and measurement methodologies. • Strong preference for candidates with a robust statistical background and prior experience in digital marketing or eCommerce analytics.