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Marketing Data Scientist

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Marketing & Communications
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014433 Requisition #

Colleagues you’ll love.
A dynamic and collaborative workplace where you can contribute to our story.
An access to over 6,000 free courses for your continuous development and career growth.
Comprehensive benefits from day one. 

 

This is the #YPLife and what working at YP is all about.


What is a Marketing Data Scientist at Yellow Pages?


Want to contribute to the development and prosperity of local small and medium-sized businesses? Welcome to Yellow Pages! As a Google Premium Partner and Facebook Marketing Partner, Yellow Pages is a leader in digital marketing for companies across Canada.

 

The Marketing Data Scientist is required to develop Decision Science / Marketing Analysis solutions and strategies that provide business insights, improve opportunity identification, and drive monetization to the business.

 

 

Key areas of responsibility:

 

  • Design & implement machine learning models that deliver key insights in support of strategic business issues and decisions
  • Utilizing data analysis “hands-on” by leveraging various statistical techniques, and predictive modeling to drive and identify opportunities for business growth
  • Identify relationships, opportunities and trends in data so they can be applied towards solving business problems and influence business decisions
  • Customized segmentations and building predictive models centered on marketing campaigns, cross sell, and retention initiatives
  • Design strategies that improve targeting efforts, and drive value to the business


Why should you apply for this position?

 

  • We bet on everyone potential rather than pressure management
  • We offer training, a flexible benefits package on your first day, a casual environment where you can wear jeans
  • We distinguish the most beautiful achievements by awarding prizes or recognition programs
  • We propose to our employees to advance in their career according to their expectations
  • Work schedule from Monday to Friday daytime

What do you need to be a Marketing Data Scientist at Yellow Pages?


Education, Experience and Technical skills

 

  • Bachelor degree (Masters preferred) in Statistics, Mathematics, Economics or other related field.
  • 3+ years of experience in analytics and a thorough understanding of data mining and machine learning techniques
  • Proficiency in Predictive Modeling techniques (linear/logistic regression, uplift modeling, decision  trees, clustering & time-series modeling  using Python/R and SQL
  • Experience dealing with very large datasets (Structured & none-Structured data).
  • Advanced SQL, Microsoft Excel, PowerPoint
  • Knowledge of statistical techniques, analysis and interpretation used for customer profiling, segmentation, response, attrition, retention and profitability analysis.
  • Knowledge of Tableau /Power BI., Google Analytics, Salesforce, BI tools
  • Experience working for cloud platforms
  • Ability and experience dealing with very granular data from multiple sources


Soft Skills and Competencies

  • Ability to translate modeling results into business implications
  • Ability and experience in designing and developing solutions for increasing monetization
  • Creative thinking and problem solver who can connect activities to draw business insights and improve ROI
  • Ability to think in a creative and innovative manner and continually evolve with changing business needs and conditions.
  • Enthusiastic with a positive attitude


You are ready to join the Yellow Pages adventure as a Marketing Data Scientist? Send us your resume right now!


About Yellow Pages


We’ve been in the game since 1908 and we continue to transform to offer our 229 000 clients the best possible products and services. We foster business relationships between Canadian small-to-medium businesses and their prospective customers. We do this by providing tailored, locally-relevant digital media and marketing solutions designed with both in mind. Over 73% of our revenue is generated by digital solutions.


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