Senior Data Scientist / Machine Learning Engineer

Data Scientist / ML Engineer Who We Are Welcome to TELUS Digital — where innovation drives impact at a global scale.

As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

Location and Flexibility This role is fully remote for candidates based in Brazil.

If you are based in São Paulo or Porto Alegre, you are welcome to work from one of our offices on a flexible schedule.

The Opportunity As a Data Scientist / Machine Learning Engineer on our team, you'll design, develop, and deliver machine learning solutions, decipher loosely defined problems using complex datasets, and determine appropriate analytical and modeling techniques.

You'll analyze structured and unstructured data, establish automated processes for large-scale modeling, perform exploratory analysis, and collaborate with peers on data acquisition and exploration, demonstrating a strong sense of ownership and urgency.

Responsibilities • Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients;

Qualifications • Relevant experience in data science/ machine learning development

Our global reach allows you to collaborate with diverse, international teams, solving complex problems and delivering tech-driven solutions that matter.

We thrive on engineering excellence, using the latest technologies in cloud computing, AI, machine learning, DevOps, microservices architecture, and data engineering.

Our teams embrace Agile methodologies, continuous integration and deployment (CI/CD) pipelines, and a DevOps-first mindset to deliver solutions at scale.

In addition to being part of an international and innovative consultancy company, you will have:

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