I picked a project with decent numbers and talked through it as situation-action-result.
Give a concise chronological overview of your resume, emphasizing roles and skills relevant to data science at Uber. Then dive deep into one project you're most proud of, using a structured story that highlights your technical contributions, the impact on product metrics, and how you navigated ambiguity. Connect the project to Uber's focus on product analytics and adaptability.
Pro tip: Choose a project where you can clearly quantify the business impact (e.g., increased conversion by X%, reduced latency by Y%) and explicitly tie it to Uber's key metrics like trips, ETAs, or driver utilization. This shows you think like an Uber data scientist.
Summarize your career progression in 1-2 minutes, focusing on data science roles and projects that align with Uber's needs. Highlight transitions and key skills gained.
Choose a project that demonstrates both technical depth and business impact, ideally involving product analytics, experimentation, or ambiguity. State why it's meaningful to you.
Describe the problem, the team, and the goals. Explain why it was ambiguous or challenging, and what was at stake.
Walk through your approach: data collection, analysis, modeling, experimentation, and collaboration. Highlight technical tools and methods used.
Share measurable outcomes (e.g., metrics improved, revenue generated) and reflect on what you learned, especially about handling ambiguity and driving product decisions.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Blanked for a second and picked a story that was a little too safe.
Choose a specific instance where you received critical feedback on a data science project, ideally one that highlights your ability to adapt and improve. Use the STAR method to describe the situation, the feedback, your response, and the positive outcome. Emphasize how you turned the feedback into a learning opportunity and demonstrated growth.
Pro tip: Show that you not only accepted the feedback but also proactively sought additional input and implemented changes that had a measurable impact. This demonstrates ownership and a growth mindset, which are highly valued at Uber.
Briefly describe the project or situation where you received critical feedback, including your role and the stakes involved.
Clearly state what the feedback was, who gave it, and why it was important. Be specific and avoid vague statements.
Detail how you reacted initially and what actions you took to address the feedback. Show that you listened, asked clarifying questions, and developed a plan.
Describe the results of your actions, including improvements in your work, positive feedback, or measurable impact on the project or team.
Summarize what you learned from the experience and how it has influenced your approach to similar situations since then.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
This one is basically asking if you can lead without a title, which is a real thing at a company like Uber where data scientists are expected to drive decisions cross-functionally.
Use the STAR method to structure your answer, focusing on a specific situation where you had to influence stakeholders without formal authority. Highlight how you built credibility through data-driven insights, tailored your communication to different stakeholders, and achieved a mutually beneficial outcome.
Pro tip: Emphasize how you leveraged data to tell a compelling story that aligned with stakeholders' goals, and quantify the impact of your influence (e.g., adoption rate, revenue impact).
Briefly describe the situation, including the stakeholders involved, the project's importance, and why you lacked formal authority.
Explain how you analyzed each stakeholder's priorities, concerns, and motivations to tailor your approach.
Describe how you used data, prototypes, or pilot results to demonstrate the value of your proposal and build trust.
Detail your communication strategy, including how you framed benefits, addressed objections, and fostered collaboration.
Summarize the outcome, highlighting stakeholder buy-in, implementation, and quantifiable results.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.