Principal Data Scientist, Marketing Measurement

Job not on LinkedIn

September 13

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $230k - $250k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Northbeam

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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.

11 - 50 employees

Founded 2020

🛍️ eCommerce

☁️ SaaS

🤖 Artificial Intelligence

💰 $15M Series A on 2022-08

📋 Description

• Own and advance the statistical foundations of marketing-effectiveness measurement, ensuring methodologies are robust, reliable, and scalable • Research, prototype, and deploy advanced attribution and AI models for marketing measurement • Design and evolve complex data science models that balance scientific rigor with practical, scalable frameworks • Build and maintain experimentation frameworks for model validation and lift measurement • Define and implement validation and release criteria for attribution model and product launches, including data-quality checks, model benchmarking, and validation metrics • Collaborate with Software Engineers and Product Managers to productionize and productize work • Mentor Data Scientists on complex statistical and methodological challenges, including experiment design; raise the bar for individual execution via reviews and training • Serve as technical architect for attribution methodologies, experiment design, and statistical inference; act as hands-on technical lead advancing AI-powered measurement techniques

🎯 Requirements

• 8+ years in data science or ML engineering roles • PhD (or equivalent experience) in statistics, econometrics, machine learning, or a related quantitative field, with a strong foundation in causal inference, experimental design, and Bayesian modeling • Proven experience applying statistical methods to marketing measurement, attribution modeling, and related incrementality/experiment design problems • Experience in building or optimizing large-scale A/B testing or experimentation infrastructure • Experience designing, deploying, and operating statistical/ML models that drive real business decisions at scale, including validation and monitoring • Proficiency in Python/R/SQL and modern data platforms (BigQuery, Snowflake) • Familiarity with MLOps practices and data pipeline orchestration tools • Strong communication skills, with the ability to explain complex statistical concepts to customers and internal stakeholders • Bonus Skills & Experience: Experience in enterprise Martech, AdTech, B2B SaaS, identity resolution across web, mobile, and offline channels, graph neural networks, deep learning applications

🏖️ 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 • Remote-friendly company with offices in San Francisco and Los Angeles