Uber is looking to shape how it tracks financial data, understands and optimizes financial performance across diverse business lines, and build scalable financial data products, predictive models, and improve reporting workflows.
Requirements
- Minimum 4 years of industry experience as a data scientist with demonstrated ability working with large data sets, mining actionable insights, statistical methods, and basic ML model development
- Proficiency in SQL and at least one programming language used for data analysis (e.g., Python or R)
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker or similar)
- Demonstrated ability to translate business problems into analytical solutions and communicate findings to both technical and non-technical audiences
- Experience developing forecasting or anomaly detection models, ideally in financial or operational domains
Responsibilities
- Actively participate and contribute to the technical solutioning and execution of the data science roadmap including helping develop robust forecasting models and impactful Gen AI applications
- Collaborate closely with teams in finance, engineering, product, business analysts, legal and data science teams across different lines of businesses, to design, prototype, and productionize end-to-end data science solutions.
- Lead a team of data scientists located in the US and India
- Develop the team with active coaching and mentoring.
- Help grow the talent in the team via effective hiring and performance management.
- Deliver strong presentations to stakeholders and senior leadership on the team's work, models, solutions, and data science findings.
Other
- Minimum 1 year of experience managing a small team of Data/Applied Scientists with strong leadership skills, growing and mentoring your team members
- Strong communication and organizational skills with the ability to manage multiple projects and stakeholders simultaneously.
- Bias to action and proven track record of getting things done.
- Domain experience in Finance, Accounting, Payments, FinTech, Tax
- Preferred Qualifications: Degree or work experience in finance, augmented with work experience as a data scientist (or experience as a data scientist in finance or a related domain) with minimum 1 year of tech leading or managerial experience
