About the team
We are looking for an Applied Scientist (Machine Learning Scientist) to join our Payments team and make meaningful contributions to our mission to streamline and optimize Uber's global payment experiences.
In this role, you will be able to use your strong quantitative skills in the fields of machine learning, statistics, economics, operations research, as well as underwriting principles and practices, to improve the Uber Payments experience.
We are looking for candidates with a passion for solving new and difficult problems with data and we specifically seek candidates with experience in underwriting and developing models to evaluate financial exposure, as these skills are crucial for effectively managing and optimizing payment processes.
About the Role
Required:
We are looking for an Applied Scientist (Machine Learning Scientist) to join our Payments team and make meaningful contributions to our mission to streamline and optimize Uber's global payment experiences.
In this role, you will be able to use your strong quantitative skills in the fields of machine learning, statistics, economics, operations research, as well as underwriting principles and practices, to improve the Uber Payments experience.
We are looking for candidates with a passion for solving new and difficult problems with data and we specifically seek candidates with experience in underwriting and developing models to evaluate financial exposure, as these skills are crucial for effectively managing and optimizing payment processes.
About the Role
- Design, build, deploy machine learning, statistical, optimization models into Uber production systems for a wide range of applications.
- Design, build, and deploy data pipelines into Uber production.
- Collaborate with multi-functional teams across areas such as product, engineering, operations, and design to drive system development end-to-end from conceptualisation to productionization.
- Understanding product performance and to find opportunities within data.
- Present findings to senior management to influence business decisions.
Required:
- High-intermediate to fluent EN skills.
- Senior and/or Staff seniority as a Data Scientist, Applied Scientist and/or Machine Learning Engineer/Scientist.
- Experience working with credit modelling
- Industry experience in ML frameworks (e.g. Tensorflow, Pytorch, or XGBoost) and complex data pipelines; programming languages such as Python, PySpark, Spark SQL.
- Thought leadership to drive multi-functional projects from conceptualisation to productionization.
- Strong communication skills and can work effectively with cross-functional partners.
- Experience developing complex software systems, scaling them with production quality deployment, monitoring, and reliability.
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