Base pay range $192,000.00/yr - $240,000.00/yr What you’ll do As a Senior Data Scientist focused on Product Analytics, work closely with Product, Engineering, and Customer Success teams to understand interactions between product engagement, customer retention, and overall growth. Lead development and evaluation of data-driven methodologies to analyze customer behavior, retention trends, and product adoption; assess how product changes impact long-term customer value. Build, implement, and evaluate predictive models and experimentation strategies to measure and optimize effects of product changes on customer growth and engagement. Act as a thought partner to leadership, identifying and prioritizing opportunities to improve customer engagement and long-term retention. Collaborate with Data Engineering to ensure scalable, reliable data pipelines that support product analytics and reporting. Communicate findings and strategic recommendations clearly to executives, product leaders, and cross-functional stakeholders. Mentor junior data scientists and contribute to building best practices across the Data Science team. Requirements Master’s degree or Ph.D. in Statistics, Economics, Applied Mathematics, or a related quantitative field. 5+ years of experience in a data science, analytics, or related role with a focus on product analytics. Strong expertise with SQL and Python (or R) for data analysis and modeling. Deep proficiency in causal inference and predictive modeling. Demonstrated ability to influence senior stakeholders and translate complex data insights into strategic business recommendations. Familiarity with BI tools (e.g., Tableau, Looker) and data visualization best practices. Excellent problem-solving skills and ability to thrive in a fast-paced, cross-functional environment. Bonus Points Experience working in B2B SaaS or fintech. Experience in developing frameworks to measure feature adoption and identifying product opportunities that drive customer lifetime value. Familiarity with product analytics tools (e.g., Amplitude, StatSig). Compensation The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including 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. Be aware of potential phishing: 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. 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. Job details Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology San Francisco, CA

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