Description

Be a part of a transformational journey with innovative talent and leading edge technologies. 

Our team and what we’ll accomplish together 

The Client Experience and Automated Enablement team on a continuous journey towards helping TELUS become a world-class leader in Automated solutions, doing so by enabling AI bots (voice and chat) to help solve customer inquiries while delivering an superior customer experience. 

Join a dynamic team that is paving the way towards digital transformation and make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help identify opportunities to deliver new and innovative AI solutions and/or customer improvement areas within our digital capabilities. 

What you’ll do 

• Work closely with different stakeholders to identify key business needs and lead the development of data-driven solutions that drive growth and innovation and ensure these solutions align with organizational goals and deliver significant value
• Serve as a bridge between the business and data science teams, ensuring clear communication and alignment on business needs, pain points, opportunities of improvement, and objectives
• Oversee the development and maintenance of machine learning projects focused on preventing customer dissatisfaction, lack of adoption and missed objectives
• Design and implement and identify patterns and trends in customer behaviour
• Analyze the performance of bot interactions and identify areas for improvement by leveraging data insights, optimize bot conversations to maximize business benefits and positive CX
• Design and analyze A/B tests to evaluate the effectiveness of different strategies, messages, or designs. In order to make data-driven decisions and continuously improve overall bot performance
• Collaborate with data engineers and software developers to integrate machine learning models into production systems
• Provide mentorship and support to fellow data analysts and team members
• Communicate findings and insights effectively to both technical and non-technical audiences 

Qualifications

What you bring 

• Proven experience 5+ years in developing and implementing machine learning models and algorithms for real-world applications
• Strong programming skills in Python and experience with popular machine learning libraries such as TensorFlow, PyTorch and scikit-learn
• Solid understanding of statistical analysis, data mining, predictive modeling and Natural Language Processing techniques
• Strong experience with data processing, feature engineering, and dimensionality reduction techniques
• Proficiency in Google cloud platform and distributed computing frameworks, Oracle, SQL and working with relational databases
• Strong problem-solving skills and the ability to think critically and analytically
• Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to diverse stakeholders