L5 Data Management - Data Scientist

Description

READY TO CREATE INNOVATIVE SOLUTIONS AND BEST PRACTICES?

Join our team

The Falcon AI Community Insights team consists of Analysts, Data Scientists, Data Engineers and Marketing Managers who are all passionate about enhancing the customer experience using the latest AI & ML technologies. Our mandate is to support the growth of Fibre networks and our customer base with meaningful and actionable insights.
We are building the next generation of Demand Forecasting, Customer Behavioral, and Intents Prediction models to deliver deeper insight into our business and support planning processes to ensure optimal outcomes for our customers.

Our team enjoys a flexible work style with the ability to work in or out of the office, in an innovative environment, that influences the direction and performance of the business.

As an experienced professional in the field of data science, 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 strong background in statistical analysis and existing TELUS Data Architecture you will be delivering the key insights required for geographical, client and retention data models.
You will be part of a team that supports your personal growth with progressive training and development while also providing opportunities for you to showcase your abilities by contributing to high-value and high-visibility projects.

• Develop and implement ML & AI and Big Data solutions including predictive modelling, customer impact assessments, etc.
• Support and evolve the AI Community Insights 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 robust interlock 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 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, Regression, Classification, Clustering, Segmentation, Time Series Analysis, Demand Forecasting and Optimization
• Experience developing in Python; comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like Pytorch or Keras
• Comfortable with Jupyter environment and infrastructure
• Proficiency with SQL
• Experience with at least one of the major cloud computing platforms - GCP, AWS, Azure
• Well versed in software development lifecycle and ML Ops concepts

• Degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
• Experience with Virtual machines, Big Query and other Google Cloud Platform services
• Experience with agile methodology and team-based software development workflows (e.g. JIRA)

Salary Range: $128,000-$178,000

Performance Bonus or Sales Incentive Plan: 15%

Actual total compensation will be determined based on factors such as knowledge, skills, performance and experience. We encourage all qualified candidates to apply, even if the posted salary range doesn't match your expectations. We're open to discussing competitive compensation packages tailored to your experience level and expertise. TELUS offers rewarding benefits, which may vary per job function, such as:

• Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family
• Flexibility to work in-office, virtually or a combination of both
• Generous company matched pension and share purchase programs
• Opportunity to give back to communities in which we work, live and serve
• Career…