Data Scientist, Brex

• The ideal candidate has experience in marketing analytics, especially in account-based marketing, MMM, and attribution modeling
• They should have strong business acumen, a deep understanding of modern marketing tech stacks and channels, and the ability to translate technical findings into business actions
• Master’s degree or Ph.D. in Statistics, Economics, Marketing Analytics, Computer Science, or a related quantitative field
• 3+ years of experience in marketing analytics, marketing data science, or related roles supporting B2B or SaaS marketing organizations
• Strong experience with SQL and Python (or R) for data analysis and modeling
• Proficiency in advanced marketing measurement techniques, including MMM, multi-touch attribution, and customer segmentation
• Familiarity with digital marketing data, modern marketing platforms (e.g., Salesforce, Marketo, HubSpot), and common paid, owned, and earned channels
• Ability to synthesize complex analyses into actionable business insights and communicate findings to stakeholders
• Experience with experimentation, A/B testing, and causal inference methodologies
• This role offers a unique opportunity to shape the future of marketing analytics at Brex while working with a world-class data and marketing team

Desirable

• As a Data Scientist, Marketing, you will partner closely with our Marketing, Sales, and Data Science teams to develop analytical frameworks that inform and optimize our marketing strategy across the customer lifecycle
• You’ll focus on designing and deploying models for account-based marketing, mixed media modeling (MMM), and multi-touch attribution
• Your work will help Brex maximize ROI from marketing investments, improve targeting and personalization, and deliver measurable growth across acquisition, engagement, and retention
• You will apply advanced analytics to complex data sets spanning paid, owned, and earned channels, contributing directly to lifecycle marketing programs and experimentation
• Develop analytical frameworks and statistical models for account-based marketing, mixed media modeling, and multi-touch attribution across marketing channels
• Analyze campaign performance, channel effectiveness, and customer lifecycle touchpoints to drive strategy adjustments to maximize marketing ROI
• Collaborate with Marketing, Sales, and Data Science teams to design, implement, and evaluate experiments (A/B tests, incrementality studies) that inform marketing investment and customer journey optimization
• Partner with lifecycle marketing teams to identify key segments, personalize outreach, and optimize engagement and retention strategies
• Synthesize large, complex data sets into clear business recommendations; communicate actionable insights to both technical and non-technical stakeholders
• Build and maintain scalable data pipelines and reporting to support ongoing measurement, attribution, and experimentation
• This role offers a unique opportunity to shape the future of marketing analytics at Brex while working with a world-class data and marketing team