Data Scientist

About The Company

TELUS Digital AI Data Solutions stands out as a key player in the tech industry, driving digital change through sophisticated artificial intelligence and data analytics. We maintain a vibrant, inclusive workplace where innovation and technical mastery flourish. Our mission centers on delivering top-tier value across diverse industries by applying advanced AI technologies and insightful data analysis. Our dedication to innovation, sustainability, and community involvement makes us a trusted digital transformation partner and a prime employer on a global scale.

About The Role

We are on the lookout for a passionate and skilled Data Scientist to join our cutting-edge team. This role involves crafting and launching complex machine learning models that uncover actionable insights and streamline business operations. The ideal candidate will bring a strong analytical perspective, adept data handling skills, and experience managing large complex datasets. Collaboration with various teams including product managers, developers, and business leaders is key to tailor solutions and achieve impactful outcomes. You will engage in forward-thinking AI initiatives that support strategic choices and improve customer engagement. A commitment to ongoing learning, inventive problem-solving, and the application of the latest AI methods to practical challenges are essential attributes.

Qualifications

Applicants should hold at least a bachelor’s degree in Computer Science, Data Science, Statistics, or related fields; advanced degrees are preferred. Demonstrable expertise in data analysis, predictive modeling, and ML techniques is a must. Proficiency with programming languages like Python or R, and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn are required. Knowledge of SQL and data visualization platforms like Tableau or Power BI is important. Strong analytical thinking, precision, and the capability to convey complex technical information to non-specialists are crucial. Past involvement in innovative AI projects with a proven record of success adds value.

Responsibilities

• Design, develop, and implement machine learning models tailored to business objectives.
• Perform exploratory data analysis to uncover trends and patterns.
• Engage in feature engineering and algorithm selection suited for specific tasks.
• Partner with data engineers to uphold data integrity and efficient pipelines.
• Collaborate with product teams to embed AI solutions into current systems.
• Continuously monitor and optimize model performance and troubleshoot issues.
• Keep up with emerging AI advancements and enhance data science practices.
• Document models, methodologies, and outcomes to ensure transparency and reproducibility.

Benefits

• Competitive salary and comprehensive health and dental insurance coverage.
• Retirement savings plans to support future financial security.
• Access to ongoing professional development such as training, workshops, and conferences.
• Flexible working arrangements supporting work-life balance.
• An inclusive and collaborative culture valuing diversity and innovation.
• Wellness programs, employee assistance, and recognition initiatives.

Equal Opportunity Employer

We are committed to fostering an inclusive workplace that embraces diversity. Our hiring practices do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status. We believe that a varied workforce enhances our creativity and service delivery. Applications from all qualified candidates are encouraged and supported.