Uber - Data Scientist II - SQL / Python

We are looking for an experienced Data Scientist to join our FinTech - Data Science team and make significant contributions to our mission to streamline and optimize Uber's financial infrastructure and processes. In this position, you will get an amazing opportunity to leverage advanced analytics, including machine learning, to play a critical role in implementing solutions for Treasury, a key pillar within Finance.

Specifically, the role will focus on enabling Uber's Treasury team with its key objective of liquidity management by building models for cash flow forecasting, performing insights-based analyses for optimization of treasury payments, building enhancements for the treasury data store, developing anomaly detection frameworks to ensure data quality, etc.

Besides liquidity management, Treasury is also responsible for managing foreign exchange exposure, investments, debt management, etc., and as a data scientist, you will get a chance to help out with specific objectives in these areas.

You will work closely with senior leaders in Product, Data Science, Engineering, Finance, Accounting, and Compliance on fast-moving, high-stakes problems. A deep analytical passion and the ability to execute on key business priorities are a must for this role. Your performance is measured by the insights you give, the effectiveness of communication, and the initiative to drive ideas and implement them into action.

Responsibilities :

• Work with Treasury Finance, Product, Compliance, Engineering, Operations, Accounting, and other business stakeholders in mining and analyzing financial data to extract key trends and insights.
• Refine ambiguous requirements and design data science solutions that benefit the product through a deep understanding of the data, our customers in finance, and our business.
• Build ML models to forecast key metrics, automate detection of anomalies in the data, and investigate and resolve the discrepancies.
• Build effective visualizations to communicate data to key cross-functional peers and key decision-makers. Be a trusted advisor to stakeholders.
• Explore FinTech systems / data to proactively identify and initiate process improvements for cost savings and efficiencies.
• Get a deep understanding of financial systems and data flows involved; document and train junior data scientists to institutionalize the learnings of the data science practice.

Requirements :

(ref : hirist.tech)