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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.
About the Role
We are seeking an experienced Data Scientist to join our team. In this role, 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.
Main 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.
Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related field
2+ years of experience in data science/ machine learning development
Bachelor's and/or Master's degree in Statistics, Mathematics, Physics, Computer Science, or other related subjects.
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.
Ability to work on distributed cloud platforms.
Experience with data visualization tools (like Looker, Tableau, or PowerBI).
Fluent English
Preferred Qualifications
- Expertise in the Google Cloud Environment (GCP), leveraging services such as BigQuery, Dataflow, VertexAI, and Looker.
- Having an active GCP Certifications.
- Experience with container management and machine learning deployment frameworks, such as Kubernetes, Kubeflow, and MLFlow.
- Software development experience from scoping, requirements design, development, integration, testing, go live to PROD (vs internal research work).
- Experience in analysing unstructured datasets leveraging technologies such as LLMs.
What’s in it for you
Private medical and life insurance from day one.
Professional growth budget for certifications and training.
Flexible work schedule.
Performance-based bonuses.
Ďalší popis práce
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