Data Scientist - Customer Insights
Telus
CA-ON-Toronto
9d ago

Description

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.

Here's how...

  • Contribute to the development of the OMNI Channel strategy by developing near real-time predictive models and trigger based strategies leveraging SAS, SPARK, Python, R, etc
  • Own the end-to-end analysis including pre-analysis, trigger detection, predictive modeling and post campaign analysis
  • Work collaboratively with business partners teams to understand, compartmentalize complex and ambiguous business issues into crisp and manageable pieces
  • Develop analytical blueprint to solve compartmentalized business issues and assembly to the big picture solution
  • Present customer insights to cross functional business partners including Marketing, Channel, Products & Services, Customer Experience and Digital
  • Maintain a solid and updated knowledge in the predictive modeling, data mining field including applications of Big Data, Text Analytics, Social Network Analytics, Cross Channel Modelling
  • Contribute to the ongoing development of the team by sharing information, success, lessons learned of own project; mentors junior team members from a technical as well as business acumen perspective
  • Qualifications

    You're the missing piece of the puzzle...

    With :
  • Technical Expertise :
  • Technical Expertise :
  • 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

  • Business Orientation :
  • 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

  • Change Management :
  • Self-driven individual with ability to adapt to varying business environments and effectively drive business results by leveraging analytics

  • Mentorship :
  • Strong leadership, coaching, mentoring skills

  • Education :
  • 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

  • Experience :
  • 8+ years of related predictive modeling experience, preferably in marketing

    Great-to-have’s...

  • Hands on experience in building machine learning models in SPARK a great asset
  • Telecommunications / industry experience would be beneficial
  • Apply
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