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Senior Data Scientist - Experimentation

Uber

São Paulo

Híbrido

BRL 150.000 - 240.000

Tempo integral

Há 2 dias
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Resumo da oferta

A leading company in the tech industry is seeking a Data Scientist to join their São Paulo team. The role focuses on developing strategic metrics and analyzing product changes, requiring expertise in SQL and experience with Python or R. The position is hybrid, blending in-office collaboration with flexible work arrangements, ideal for those passionate about using data to drive decisions.

Qualificações

  • Senior and/or Staff seniority in a Business/Data/Science role.
  • Previous experience improving products and understanding user journeys.
  • Experience in statistical methods for exploratory analysis.

Responsabilidades

  • Develop and monitor strategic metrics and understand all underlying factors.
  • Design and run experiments to analyze the impact of product changes.
  • Communicate findings to cross-functional peers and management.

Conhecimentos

Advanced English skills
SQL expertise
Experience using Python or R
Experience launching experiments
Casual Inference
Linear regression

Formação académica

Bachelors or M.S. in Statistics, Economics, Computer Science

Descrição da oferta de emprego

About the Team

We are looking for a Data Scientist to join the Sao Paulo team, specifically in Core Services Analytics.

You will work with product managers, engineers, and fellow data scientists to shape the direction of one or more products within Core Services. You will work on fast-moving, high-stakes problems reaching a global audience. A deep analytical passion and the ability to execute key business priorities are a must for this role.

Notes about the profile

If you are interested in advanced modeling and production modeling, this role is not it! We have a separate Applied Science team that works on these types of projects.

About the Role

  • Develop and monitor strategic metrics and understand all underlying factors;
  • Design and run experiments to analyze the impact of product changes;
  • Deep dive into data to evaluate proposed product changes and identify opportunities for improving the user experience;
  • Collaborate with product managers and other business leaders to make decisions based on data insights and experiment results;
  • Communicate your findings to cross-functional peers and management.

Technical Skills

Required:

  • Advanced English skills;
  • Senior and/or Staff seniority in a Business/Data/Science role;
  • Previous experience improving products, understanding the user journey, and extracting insights from data;
  • Advanced SQL expertise;
  • Experience using Python or R;
  • Experience launching multiple experiments (such as A/B experiments) and an understanding of experimental design and using
  • statistical methods in exploratory analysis;
  • Casual Inference, Linear regression, and credibility-weighted estimates experience are a huge plus;
  • Bachelors or M.S. in Statistics, Economics, Computer Science, or other quantitative fields.

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

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

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