Brex

<div>Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
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.</div>Data at Brex
The Data organization develops infrastructure, statistical models, and products using financial data. Our Scientists and Engineers work together to make data —and insights derived from data — a core asset across the company. Our work is ingrained in Brex’s decision-making process, in the efficiency of our operations, in our risk management policies, and in the second-to-none experience we provide our consumers.
What You’ll Do
Our Data Scientists are responsible for the entire model development lifecycle, from conception with stakeholders, through model development and productionization, to following through to see that the desired business impact is achieved — including circling back with stakeholders to make product or strategic decisions.
Responsibilities
<ul>
<li>Drive Data &amp; AI solutions from inception to deployment to efficiently manage risk and/or improve customer experience.</li>
<li>Be responsible for the full machine learning lifecycle — problem identification, model design, training, productionization, and monitoring.</li>
<li>Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit).</li>
</ul>
Requirements
<ul>
<li>3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative field</li>
<li>Demonstrated ability to own end-to-end model development, including productionization</li>
<li>Expertise in Python programming, SQL queries, and ML-related frameworks</li>
<li>Ability to apply statistical techniques such as hypothesis testing and A/B testing, and to approach problems with a statistical mindset</li>
<li>Strong software engineering fundamentals, including experience with API development and integrating ML systems into production services</li>
<li>Strong communication skills and the ability to collaborate with various stakeholders, both technical and non-technical</li>
</ul>
Nice to Have
<ul>
<li>Experience working with real-time models</li>
<li>Advanced degree (MSc/PhD) or published research in Machine Learning or a related field</li>
<li>Previous experience in the risk domain (fraud, AML, and/or credit) or building customer-facing ML models (suggestions/automations)</li>
<li>Experience in the fintech industry</li>
</ul><div>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 <a href="http://brex.com/" target="_blank" rel="noopener noreferrer ugc">brex.com</a> domain. Any outreach claiming to be from Brex via other sources should be ignored.</div>

Data Scientist II, Applied ML

<div>Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
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.</div>Data at Brex
Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.
What You’ll Do As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 
Where you’ll work
This role will be based in our Sao Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities:
<ul>
<li>Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.</li>
<li>Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. </li>
<li>Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. </li>
<li>Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.</li>
<li>Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.</li>
<li>Set and proliferate company-wide standards for data relating to structure, quality, and expectations.</li>
<li>Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.</li>
<li>Use agentic AI where it speeds up pipeline and quality work, without skipping validation.</li>
</ul>
Requirements:
<ul>
<li>3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.</li>
<li>Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.</li>
<li>Experience integrating and orchestrating data workflows with various modern data tools and systems.</li>
<li>Experience with data modeling, ETL/ELT processes, and data warehousing solutions.</li>
<li>Experience working with a data warehouse such as Snowflake.</li>
<li>Experience with a data workflow orchestrator tool such as Airflow.</li>
<li>Experience with a programming language such as Python. </li>
<li>Experience with agentic AI. </li>
<li>Exceptional quantitative and analytical skills.</li>
<li>Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.</li>
</ul>
Nice to have:
<ul>
<li>Familiarity with BI tools such as Looker, Tableau, or similar platforms. </li>
<li>Solid dbt in production: models, tests, docs, and collaboration in a shared repo. </li>
<li>AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. </li>
<li>Experience with Salesforce data integration. </li>
</ul>
Brex LLC is a wholly owned subsidiary of Capital One, N.A.<div>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 <a href="http://brex.com/" target="_blank" rel="noopener noreferrer ugc">brex.com</a> domain. Any outreach claiming to be from Brex via other sources should be ignored.</div>

Data Engineer

<div>Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
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.</div>Data at Brex
Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.
What You’ll Do As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 
Where you’ll work
This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities:
<ul>
<li>Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.</li>
<li>Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. </li>
<li>Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. </li>
<li>Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.</li>
<li>Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.</li>
<li>Set and proliferate company-wide standards for data relating to structure, quality, and expectations.</li>
<li>Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.</li>
<li>Use agentic AI where it speeds up pipeline and quality work, without skipping validation.</li>
</ul>
Requirements:
<ul>
<li>3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.</li>
<li>Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.</li>
<li>Experience integrating and orchestrating data workflows with various modern data tools and systems.</li>
<li>Experience with data modeling, ETL/ELT processes, and data warehousing solutions.</li>
<li>Experience working with a data warehouse such as Snowflake.</li>
<li>Experience with a data workflow orchestrator tool such as Airflow.</li>
<li>Experience with a programming language such as Python. </li>
<li>Experience with agentic AI. </li>
<li>Exceptional quantitative and analytical skills.</li>
<li>Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.</li>
</ul>
Nice to have:
<ul>
<li>Familiarity with BI tools such as Looker, Tableau, or similar platforms. </li>
<li>Solid dbt in production: models, tests, docs, and collaboration in a shared repo. </li>
<li>AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. </li>
<li>Experience with Salesforce data integration. </li>
</ul>
Compensation:
The expected salary range for this role is $120,800 - $151,000. 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.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.<div>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 <a href="http://brex.com/" target="_blank" rel="noopener noreferrer ugc">brex.com</a> domain. Any outreach claiming to be from Brex via other sources should be ignored.</div>

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Data Scientist II, Applied ML

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