Be a part of a transformational journey with innovative talent and leading edge technologies?
Join our team!
Want to be part of a team leading marketing transformation and being at the forefront of advanced analytics?
The Customer 360 Insights team within Journey Design & Delivery group at TELUS is an integral part of how TELUS is transforming the way we market to our customers and create better outcomes for them.
We provide end-to-end analytics support for various customer journeys and are at the forefront of implementing the latest in advanced analytics through predictive analytics and machine learning.
You can be part of this journey and help implement this transformation in marketing analytics.
Here’s the impact you’ll make and what we’ll accomplish together!
As a Data Scientist supported by the Manager of C360 Insights, this candidate will be responsible for providing end to end analytics solutions and provide actionable insights to assist in refining customer journeys and implementing an OMNI Channel Always-
On Marketing experience for our customers. Thus enabling better decisions that drive revenue / EBITDA growth, manage churn and reduce customer effort across various lines of business.
You're the missing piece of the puzzle...With :
Advanced knowledge in various advanced predictive modeling / data mining techniques to ensure effective solutions to marketing issues Extensive hands-
on experience in SAS (Enterprise Guide / Miner), Hive, SPARK, R, Python, SQL and other data query language on UNIX / PC and comfortable working with very large data sets and databases Strong quantitative, analytical and problem solving skills
Advanced business acumen, relationship management and influencing without authority skills; ability to provide actionable recommendations based on data analysis Strong ability to prioritize tasks from multiple stakeholders and meet deadlines with quality deliverables Advanced written, oral, communications, presentation skills and knowledge of Microsoft (MS) Office Suite
Self-driven individual with ability to adapt to varying business environments and effectively drive business results by leveraging analytics
Strong leadership, coaching, mentoring skills
Doctor of Philosophy (Ph.D.) in Statistics, Economics, Mathematics, Computer Science or other quantitative field is preferred Master degree with extensive relevant experience and knowledge will be strongly considered
8+ years of related predictive modeling experience, preferably in marketing