DATA SCIENTIST / ML ENGINEER
WHO WE ARE
Welcome to TELUS Digital https://www.telusdigital.com/— where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS https://www.telus.com/en/, 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;
- Come up with solutions to loosely defined business problems by leveraging pattern detection over complex datasets across multiple platforms;
- Establish efficient, automated processes for large-scale modeling;
- Become part of a highly skilled and geographically distributed team;
- Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as well as building the tools that support this process;
- Strong sense of ownership, urgency and drive.
QUALIFICATIONS
- Relevant experience in data science/ machine learning development
- Bachelor and/or Master degree in Statistics, Mathematics, Physics, Computer Science or other related subject.
- Proficiency in Python.
- Experience with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like scikit-learn).
- Strong understanding of machine learning algorithms, processes, tools and platforms.
- Experience with container management and machine learning deployment frameworks, such as Kubern