Data Scientist

As a Data Scientist at Brex, your primary responsibilities will include developing data-driven methodologies to analyze customer behavior and product adoption. You will design and implement predictive models, collaborate with cross-functional teams to identify growth opportunities, and communicate your findings effectively to both technical and non-technical stakeholders.

To apply for the Data Scientist position at Brex, you need a Master’s degree or Ph.D. in Statistics, Computer Science, Economics, or a related quantitative field, along with at least 3 years of experience in a data science or analytics role that focuses on product analytics.

When applying for the Data Scientist position at Brex, you should highlight your experience with SQL and Python alongside your familiarity with A/B testing methodologies and predictive modeling. Provide specific examples of how you have used analytics to drive product decisions or customer engagement improvements in previous roles.

Brex fosters a unique work culture centered around innovation, learning, and collaboration. As a Data Scientist, you will work closely with diverse teams, which encourages different perspectives and promotes a dynamic environment where you can grow your skills and take your ideas to the next level.

Yes, the Data Scientist role at Brex offers remote work flexibility. Employees can work remotely for up to 4 weeks per year, in addition to being required to work in the São Paulo office at least two days a week.

To answer this question effectively, outline a specific project where you applied predictive modeling techniques. Discuss the methodologies you used, the data you analyzed, and the impact your findings had on business decisions or product development.

Explain the steps you take when planning an A/B test, including hypothesis definition, sample selection, and statistical analysis. Emphasize the importance of A/B testing in identifying the effectiveness of product changes and guiding data-driven decisions at Brex.

Discuss potential challenges such as data quality issues, understanding user context, or measuring the impact of external factors. Highlight your problem-solving approach and how you adapt your analysis methods to overcome these difficulties.

Share a specific instance where your data insights led to a significant change in product strategy or user experience. Focus on the methodology you employed to derive those insights and the outcomes that followed.

Discuss your commitment to continuous learning through online courses, attending workshops or conferences, and following relevant thought leaders. Mention specific resources or communities you engage with to stay updated on industry advancements.

Elaborate on your experience with BI tools such as Tableau or Looker. Provide an example of how you created visualizations to communicate data findings effectively to stakeholders, emphasizing how this improved understanding and drove decisions.

Provide a detailed account of a project where you analyzed data and presented your findings to non-technical stakeholders. Focus on how you simplified the data insights into clear recommendations that were easily understood and actionable.

Discuss your approach to time management, such as assessing project impact and urgency, communicating with stakeholders, and using project management tools to keep track of progress. Highlight your adaptability in adjusting priorities as needed.

Emphasize the importance of collaboration with cross-functional teams like Product, Engineering, and Customer Success. Share how working closely with these teams enriches your analysis and drives better outcomes for the business and customers.

Articulate your interest in Brex’s innovative approach and commitment to data-driven decision-making. Mention specific aspects of the Brex culture and mission that resonate with you, and how you see yourself contributing to the team and the company’s goals.