About the Role
- - - - 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
* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .