L5 Data Management - Data Scientist

Location: East Kootenays (Fernie)

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.

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

What you’ll do

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

Qualifications
What you bring

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

Great-to-haves

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…