Staff Data Scientist / ML Engineer

Staff Data Scientist 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 on our team, you'll design, develop, and deliver machine learning solutions, decipher loosely defined problems using complex datasets, and determine appropriate analytical and modelling techniques. You'll analyze structured and unstructured data, establish automated processes for large-scale modelling, 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; Determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes; Analyze and interprets data from structured and unstructured data sources in both batch and streaming modes; Establish efficient, automated processes for large-scale modeling; Perform ad-hoc exploratory and explanatory analysis; 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 9+ years of professional experience in data science and machine learning development, with demonstrated track record of delivering transformative, organization-wide ML solutions Master's or PhD in Statistics, Mathematics, Physics, Computer Science, or related field strongly preferred Expert-level proficiency in Python, SQL, and the full ML/data science ecosystem; recognized technical authority in ML frameworks, algorithms, and system design Deep expertise in machine learning algorithms, statistical methods, ML system architecture, and emerging AI technologies, with proven ability to architect and scale complex ML systems across the organization Extensive experience architecting end-to-end ML platforms, MLOps infrastructure, and production systems on cloud platforms (AWS, Azure, or GCP) Strong experience with big data technologies (Spark, Hadoop), distributed computing systems, and performance optimization at scale Proven technical leadership with ability to set data science standards, mentor senior data scientists, and drive technical strategy across multiple teams Demonstrated ability to identify and solve ambiguous, high-impact problems that align with business objectives Exceptional stakeholder management skills with ability to influence executive-level decision-making and shape product/business strategy Fluent in English Why TELUS Digital? At TELUS Digital, you'll work with world-class brands like FOX, HBO, PepsiCo, and Domino's, building transformative digital products that impact millions. 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: A Global Innovation Hub: Be part of an international consultancy at the forefront of technology Work-Life Harmony: Enjoy flexible hours and autonomy to balance your professional and personal life Cutting-Edge Tech Playground: Dive into the latest technologies and shape the future of digital solutions Prestigious Partnerships: Collaborate with world-renowned brands, making a real impact in the market Growth-Centric Environment: Thrive in our collaborative ecosystem with a clear career development path Global Exposure: Embrace optional international travel opportunities to broaden your horizons Some of our benefits: Health and dental plan Life insurance Monthly voucher for meals, culture, education, health and mobility Child care assistance and more! Equal Opportunity Employer At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity. We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us. For more information on how we use your information, see our Privacy Policy.