Uber AI Solutions leads many of the operations and technologies that enable Uber's mission to reimagine the way the world moves. The tech+ops solution coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry.
Requirements
- Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
- SQL mastery. Write efficient and complex code in SQL
- Experience in Python/R and experimentation, A/B testing, and statistical modelling
- Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
- Working Knowledge of LLMs is a plus
- LLMs, prompt engg is a plus
Responsibilities
- Build scalable analytical frameworks to support product analytics and experiments for Uber's New business Platform Uber AI Solutions"
- Own new product experimentation including plan creation, roll-out, and monitoring
- Develop and track metrics and reporting functions to measure and monitor risk products on our platform
- Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
- Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts
Other
- Be the thought leader for the team, help navigate all the ambiguous problems and create simplified effective solutions
- Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
- Effectively and proactively communicate insights and drive projects to drive towards team goals
- Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
- Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries
