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Data Scientist Jobs
Company | TELUS |
Address | Montreal, Quebec, Canada |
Employment type | FULL_TIME |
Salary | |
Category | IT Services and IT Consulting,Telecommunications,Utilities |
Expires | 2023-07-20 |
Posted at | 11 months ago |
Description
- Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
- Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
- Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
- Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
- Lead the iterative development, validation, and deployment of AI/ML models
- Develop re-usable code aimed at delivering on future goals faster and more reliably
- Collaborate on end-to-end automation efforts required to bring models to production
- Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
- You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2-4 years of hands-on work and practical business experience in the above areas
- You are well versed in software and AI development lifecycles, including ML Ops
- You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
- You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
- You possess advanced knowledge in SQL and distributed computing
- You are agile and have a bias for action, removing roadblocks to get results fast
- You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
- 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 recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
- GCP or other cloud certifications
- Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
- Experience with agile methodology and work in a start-up environment
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