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Data Scientist

Vancouver, BC
Full Time
5 hours ago

Ready to create innovative solutions and best practices?

Join our team

Have you ever dreamed about building an AI-driven technologically advanced platform capable of helping millions of people and changing their lives for the best? If so, your dream will come true with us

TELUS is looking for a passionate and talented Data Scientist to join a highly skilled and dynamic Advanced Analytics team. In this role, you will be a key contributor to our next generation Demand Forecasting, and Customer Behavioral & Customer Intents Prediction models.

You will create the most advanced Machine Learning solutions to enable various stakeholders to better anticipate TELUS' customers needs and help them meet customers' inquiries in advance.

Customer Experience AI, Data & Analytics Spotlight:
    •Our team works in a fun, innovative and challenging environment that directly influences the strategic direction and performance of the Customer Experience business •Our teams are responsible for the Demand Forecasting, Customer Intents and Behavioral Prediction, as well as Performance Analytics •We work closely with our stakeholder teams to deliver on our strategic objectives; our key stakeholders and partners include Operations, Marketing, Finance, and Technology Transformation and more •We provide opportunities for you to excel and show your stuff: work on high value and high visibility projects •We have flexible work styles with the ability to work in and out of the office •You will work in a team that actively supports your personal development with progressive training and development tools

Here's the impact you'll make and what we'll accomplish together

As a Data Scientist, you're in great company, working alongside some of the brightest and creative Data Scientists, Data Engineers and Data Analysts. You will be part of the journey that brings us to a better understanding of our customers, in order to predict their needs and interaction behaviour.

With your expert knowledge and experience in Machine Learning, you will contribute to the development of state of the art ML & AI driven solutions such as demand forecasting, customer intents prediction and customer behaviour models.

Here's how
    •Lead the development and implementation of ML & AI and Big Data solutions including predictive modelling, customer impact assessments, etc •Support and evolve the Advanced Analytics and Data Management roadmap by leveraging industry research, best practices and emerging tools/technology •Execute, oversee, and evolve models and algorithms selection to deliver solutions that are relevant and facilitate decision making •Build and maintain a strong engagement with key stakeholders to understand business needs and priorities •Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI •Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities


You're the missing piece of the puzzle
    •You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques •You are sought out for your skills in Machine Learning (Supervised and Unsupervised), Classification, Clustering, Segmentation, Time Series Analysis, NLP, Demand Forecasting and Optimization, with 5 or more years of practical business experience in the above areas •You are capable of delivering 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 •You are comfortable with Jupyter environment and infrastructure, as well as know what GitHub, Spyder/PyCharm are •You possess advanced knowledge in SQL •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 •You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment with novel algorithms and technologies to perform hypothesis testing and validation, and develop ML-driven models through an iterative approach

    •Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science •Data visualization experience: Data Studio, Tableau, PowerBI, Domo •Data environments experience: MS SQL, Oracle •G-Suite experience •Experience with agile methodology and team-based software development workflows (e.g. JIRA)

A bit about us

Our business is connecting Canadians. Our social impact is using our world-leading technology to create meaningful change, give back to help communities thrive, and help those who need it most. When you join our team, you're helping us make the future friendly. We're committed to diversity and equitable access to employment opportunities based on ability -your unique contributions and talents will be valued and respected here.
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