Senior Data Scientist

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Northbeam

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🛍️ eCommerce

☁️ SaaS

🤖 Artificial Intelligence

💰 $15M Series A on 2022-08

eCommerce • SaaS • Artificial Intelligence

Northbeam is a marketing intelligence platform that specializes in multi-touch attribution and media mix modeling, powered by machine learning, to enhance profitable growth. The platform offers tools like omnichannel planning, real-time data analytics, and creative analytics to optimize ad spends, improve cross-channel performance, and drive growth for ecommerce brands. Trusted by top brands, Northbeam provides data-driven insights into customer journeys and ad performance with a focus on first-party data. Its solutions help businesses understand conversion paths, optimize budget mixes, and tackle creative fatigue for maximum return on ad spend.

📋 Description

• Build, deploy, and maintain production systems that power Northbeam's measurement products. • Translate statistical and causal inference methodologies into scalable, reliable customer-facing capabilities. • Improve the accuracy, coverage, reliability, and operational robustness of our measurement systems. • Debug data, modeling, and production issues across the full stack, from source data to customer-facing outputs. • Evaluate methodological improvements pragmatically, balancing statistical rigor, implementation complexity, maintainability, and business value. • Partner closely with teammates across Data Science, Engineering, Product, and Customer Success to improve measurement quality and product capabilities. • Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to improve Northbeam's products.

🎯 Requirements

• Bachelor's degree (MS or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field. • 5+ years of experience building and deploying data science, machine learning, or AI systems in production environments. • Strong foundation in statistics, machine learning, experimentation, and causal inference, with experience applying these methods to solve real-world business problems. • Strong coding and debugging skills, with the ability to write production-quality code that is maintainable, testable, and reliable. • Experience implementing, deploying, and supporting statistical or machine learning systems in production environments. • Ability to debug issues across the full stack, including source data, data pipelines, model logic, production services, and customer-facing outputs. • Experience owning projects end-to-end, from problem definition and methodology evaluation through production deployment and operational support. • Comfortable working in a fast-paced startup environment and driving projects from concept to production with a high degree of autonomy. • Strong communication skills and the ability to explain technical concepts to both technical and non-technical audiences. • Growth mindset, intellectual curiosity, and a willingness to learn new domains, technologies, and measurement methodologies.

🏖️ Benefits

• equity package • comprehensive healthcare benefits (medical, dental, and vision) • 401(k) plan • flexible PTO policy • 12 company-paid holidays • 12 weeks of paid parental leave • $500 work-from-home stipend