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About The Role We are looking for a highly driven and experienced Data Scientist to join Uber's FinTech - Data Science team. In this role, you will have the amazing opportunity to shape how Uber understands and optimizes its financial performance across diverse business lines. You'll partner closely with Data Science, Product, Engineering, Finance, and other cross-functional stakeholders on fast-moving, high-stakes problems. A deep analytical and science passion and the ability to execute key business priorities are a must for this role. Your performance is measured by the insights you give, communication effectiveness, and the initiative to drive ideas and implement them into action! What The Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Analyze large volumes of financial and operational data to extract actionable insights, with a focus on key financial and business metrics Develop models to forecast financial metrics, detect anomalies, and support strategic decision-making across Uber's financial systems. Partner with stakeholders across Finance, Product, Engineering, and ML teams to design, prototype, and productionize end-to-end data science solutions. Build end-to-end data pipelines and self-serving dashboards. Automate whatever you can! Communicate your findings to cross-functional peers and management. Build tools and documentation that enable operational teams to independently explore financial metrics and monitor key performance indicators. Investigate and resolve discrepancies across multiple financial systems and datasets, ensuring consistency and trust in reported metrics Build effective visualizations to communicate data to key decision-makers Get a deep understanding of the FinTech systems and data flows involved; document and train internal personnel to institutionalize the learnings of the data science practice. Basic Qualifications Bachelor's degree with 2+ years, or Master's degree with 1+ years, of relevant industry experience in Data Science or similar roles. Advanced SQL proficiency and strong understanding of data modeling. Solid foundation in statistical methods and data exploration techniques. Experience building dashboards or visualizations using Tableau, Plotly, Looker, or similar platforms. Strong communication skills, with the ability to translate data findings into clear recommendations to cross-functional stakeholders Preferred Qualifications Experience in Python/R for data analysis, modeling, and pipeline automation. Experience developing forecasting or anomaly detection models, ideally in financial or operational domains Demonstrated ability to decompose complex business problems into structured analytical approaches Proven success in cross-functional collaboration and stakeholder engagement. Prior exposure to finance or related industries is a plus Show more Show less
