Uber is looking to track its financial data and optimize its financial performance across diverse business lines
Requirements
- 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)
- 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
- Domain experience in Finance, Accounting, Payments, FinTech, Tax
- Experience developing forecasting or anomaly detection models, ideally in financial or operational domains
Responsibilities
- Lead a team of data scientists located in the US and India
- 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
- Develop the team with active coaching and mentoring
- Deliver strong presentations to stakeholders and senior leadership on the team's work, models, solutions, and data science findings
Other
- M.S. or Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Mathematics, Finance, or other quantitative fields
- 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
- 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
