Data Scientist

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 financial 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 consumers.

What you’ll do

The Data Science and Analytics team drives strategic initiatives to optimize profitability, enhance efficiency, and implement automation across nearly all functions at Brex. We're seeking a versatile Data Scientist to own innovation across our product development, relationship management, risk management, and go-to-market strategies. This role offers the opportunity to lead a transformative leap in Brex's competitive advantage by leveraging cutting-edge data science to drive innovation.

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, starting the week of January 6th, 2025. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.

Responsibilities

• Apply a keen eye for identifying high-impact opportunities where data science can significantly boost business value.
• Use advanced analytics and machine learning techniques to solve complex business problems.
• Execute projects with precision, from concept to deployment, ensuring robust and scalable solutions.
• Take full ownership of data science initiatives, managing them end-to-end with a results-oriented approach and in collaboration with data analysts and data engineers.
• Communicate complex technical concepts to both technical and non-technical stakeholders, translating insights into actionable business recommendations.
• Collaborate effectively with cross-functional teams, including product managers, marketers, and executives, to align data science efforts with strategic business goals.
• Stay current with the latest advancements in data science and machine learning, continuously improving our methodologies and tools.

Requirements

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Economics, Operations Research or a related quantitative field
• Minimum of 3+ years of professional experience in data science or a related field
• Proven track record of successfully implementing data science projects in a business environment
• Proficiency in programming languages such as Python or R
• Knowledge of machine learning algorithms and statistical modeling techniques, with an emphasis on causal inference
• Familiarity with data visualization tools (e.g., Looker, Tableau, PowerBI)
• Understanding of SQL and experience working with relational databases
• Strong collaboration and teamwork abilities 
• Adaptability and willingness to work on diverse projects across different business domains
• Understanding of product development, customer relationship management, risk management or marketing analytics is a plus
• Must be willing to work in office 2 days per week on Wednesday and Thursday

Compensation

The expected salary range for this role is $140,000 - $175,000. 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.