Why join us

Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.

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Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

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Data at Brex

The Data team turns information into advantage. We design infrastructure, develop models, and deliver insights that power smarter decisions across Brex. Our scientists and engineers are embedded across product, engineering, risk, operations, and business teams — building data products, improving customer experiences, and shaping high-impact strategies. We treat data as a product, and ownership runs deep. If you're excited by complexity and want your work to drive decisions at scale, this is your team.

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What You’ll Do

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.

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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.

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Where you’ll work

This role will be based in our San Francisco office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year.

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Responsibilities:

• 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.

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Requirements:

• 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.

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Bonus Points:

• Experience working in B2B SaaS or fintech, especially supporting demand generation and account-based marketing programs.
• Familiarity with customer journey analytics, advanced personalization, or recommendation systems.
• Experience working with marketing automation, CRM, and data integration tools.
• Knowledge of adtech, martech, and data privacy best practices.

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. If you are passionate about using data science to drive smarter marketing decisions, we’d love to hear from you!

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Compensation

The expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

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