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Data Scientist II
| Company | Brex |
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| Location | San Francisco, CA, USA |
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| Salary | $152000 – $190000 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Mid Level |
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Requirements
- Master’s degree or Ph.D. in Statistics, Computer Science, Economics, or a related quantitative field.
- 3+ years of experience in a data science, analytics, or related role focused on product analytics.
- Strong experience with SQL and Python (or R) for data analysis and modeling.
- Proficiency in A/B testing methodologies, causal inference, and predictive modeling.
- Ability to translate complex data insights into strategic business recommendations.
- Familiarity with BI tools (e.g., Tableau, Looker) and data visualization best practices.
- Strong problem-solving skills and the ability to work in a fast-paced, cross-functional environment.
Responsibilities
- Develop and apply data-driven methodologies to analyze customer behavior, retention trends, and product adoption, focusing on how product changes impact long-term customer value.
- Design and implement predictive models, causal inference methods, as well as experimentation strategies to measure and optimize the effect of product changes on customer growth and engagement.
- Partner with Product, Engineering, and Customer Success teams to identify key opportunities for improving customer engagement and long-term retention.
- Collaborate with Data Engineering to build scalable data pipelines that support product analytics and reporting.
- Clearly communicate findings and strategic recommendations to both technical and non-technical stakeholders.
Preferred Qualifications
- 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).
