Senior Data Scientist

Job description

Location: Toronto, ON, CA Ottawa, ON, CA Calgary, AB, CA Vancouver, British Columbia, CA Montreal, Quebec, CA
Req ID: 28621
Jobs by Category: Technology Solutions
Job Function: Data Science
Status: Full Time
Schedule: Regular


Join our team and what we'll accomplish together

The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all!

Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. As a Senior Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

Here's how

  • Lead the iterative development, validation, and deployment of AI/ML models
  • Collaborate on end-to-end automation efforts required to bring models to production
  • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
  • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
  • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
  • Develop re-usable code aimed at delivering on future goals faster and more reliably
  • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
  • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities


What you bring

  • Demonstrated ability to lead end-to-end iterative development of data-driven solutions to business challenges including problem definition, hypotheses generation and development, validation, and deployment of AI/ML models
  • Ability to independently lead value generation, measured in terms of EBITDA generated, for a business area/function; this includes managing and delivering a portfolio of use-cases by collaborating with business stakeholders and members within our team
  • Demonstrated aptitude to mentor and coach junior team members on both technical aspects of Data Science as well as its application to solve business challenges
  • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring at least 6 years of hands-on work and relevant experience in these areas
  • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
  • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
  • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
  • You possess advanced knowledge in SQL and distributed computing
  • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
  • You are well versed in software and AI development lifecycles, including ML Ops
  • You are agile and have a bias for action, removing roadblocks to get results fast

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