Senior Applied Scientist (Payments)

Uber; São Paulo; Híbrido; USD 70.000 - 120.000; Tempo integral

Resumo da oferta

A leading company in technology and information is seeking a Senior Machine Learning Scientist to improve payment processes. The role involves building and deploying machine learning models, collaborating with multidisciplinary teams, and enhancing overall payment experiences. Ideal candidates will have strong experience in machine learning frameworks and excellent communication skills.

Qualificações

• High-intermediate to fluent in English.
• Experience in credit modeling required.
• Senior or Staff level in Data Science or Applied Science.

Responsabilidades

• Design and deploy machine learning models.
• Collaborate with cross-functional teams.
• Present findings to senior management.

Conhecimentos

Machine Learning

Statistics

Data Analysis

Communication

Ferramentas

Tensorflow

Pytorch

Python

PySpark

Spark SQL

Descrição da oferta de emprego

Senior Machine Learning Scientist (Payments)

Senior Machine Learning Scientist (Payments)

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.

Technical Skills

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.

Please note: this hybrid position is based in São Paulo, Brazil - welcoming both local professionals and those open to relocating to São Paulo.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Media

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