Staff Data Scientist

🕒 February 6

🏄 California – Remote

🏄 California – Remote

💵 $130k - $230k / year

⏰ Full Time

🔴 Lead

📊 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

• Support the development and evolution of marketing intelligence products • Contribute to core systems that help businesses understand marketing effectiveness • Operate across the full lifecycle—from researching to productionizing models • Collaborate closely with the Head of Insights, Product, Engineering and Design • Build, improve, and maintain production-grade data science models • Enhance the accuracy and robustness of existing MMM pipelines • Design and implement optimization algorithms • Analyze customer measurement data to surface insights • Explain statistical concepts and troubleshoot measurement issues • Provide technical expertise and guidance to stakeholders

🎯 Requirements

• Bachelor’s degree in Mathematics, Computer Science, or a highly quantitative STEM field (Master’s preferred) • 6+ years of experience in data science or machine learning roles • Strong foundation in statistics, machine learning, and causal inference • Hands-on experience applying methods to real business problems (e.g., regression, time series analysis, A/B testing, Bayesian modeling) • Familiarity with optimization techniques (e.g., linear programming, mixed-integer programming, etc.) • Proficiency in Python and/or R, SQL • Experience with modern data platforms and statistical modeling libraries • Comfort making changes to live models and pipelines • Interest in marketing measurement, including MMM and incrementality • Thrives in a small, fast-paced environment • Strong communication skills, with comfort explaining technical concepts to non-technical audiences

🏖️ 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