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Data Scientist

Rogers Communications

This is a Contract position in Toronto, ON posted June 11, 2021.

At Rogers, we connect Canadians to a world of possibilities and the memorable moments that matter most in their lives.

Every day we wake up with one purpose in mind.

To bring loved ones together from across the globe.

To connect people to each other and the world around them.

To help an entrepreneur realize their dream.

A sports fan celebrate a special moment.

Because we believe connections unite us, possibilities fuel us, and moments define us.

As we grow our team, the well-being of our team members remains our top priority.

To ensure the health and safety of our team members, including those in the recruitment process, our team members are temporarily working from home.

Come play a key role in building the future of innovation in Canada.

Everyone wants to be part of a transformational team
– and that’s exactly what we’re building at Rogers.

A team that innovates and a team that wins.

Founded in 1960, we have grown to become a leading technology and media company providing the very best in wireless, residential services, and media to Canadians and Canadian businesses.

At Rogers, we are committed to creating and growing teams that are digital-first, fast-moving, bold-thinking and are focused on delivering impact in everything they do.

Our world-class network offers wireless connectivity across Canada, and we are the market leader in 5G for both coverage and reliability.

Our fibre network also supports millions of customers with high-speed Internet, TV and Smart Home Monitoring
– we offer the fastest and most consistent network in the areas we serve.

Our impressive collection of assets includes a wide range of media properties, sports teams, sports events & production, venues and e-commerce platforms.

Through our three brands Rogers, Fido and chatr, we provide Canadians with choice and value on a variety of plans to meet their needs and connect them to what matters most.

Between our consumer, enterprise and media brands we connect 30 million Canadians every month from coast to coast to coast Not only is our business strong, but so is our culture.

We genuinely care about each other and we’re committed to fostering an inclusive and diverse workplace at Rogers so all of our team members can bring their whole selves to work.

We have employee resource groups that build awareness and a culture of allyship for equity-seeking groups, including groups representing People of Colour, LGBTQ2S, Indigenous Peoples, Persons with Disabilities and Women.

We all bring something different, and we know what makes you different makes us great.

We believe in challenging work, rewarding opportunities and giving back to make a positive impact for Canadians who need it most.

When our team learns, grows and reaches their true potential
– we can make more possible.

At Rogers, your journey is filled with limitless possibilities, and you can build the future you want with us.

Let’s make your possible at Rogers.

At Rogers, we make more possible, and data is at the heart of that.

We are seeking a Data Scientist to help us generate insights, guide decisions and inform our interactions with our customers.

Our roadmap has us making significant investments to move our data to the cloud and provide you best-in-class tools for analytics and data science.

Our team of professionals leads a community of practice where ideas are shared, and we learn from one another.

We are growing to provide new and exciting career opportunities for talented data & analytics professionals like you.

Data Scientists will be primarily responsible interpret and solve deep business problems by developing predictive models and analysis that make the best use of the wealth of Customer, Network and Channel information available across Rogers business units, channels and care and marketing platforms.

Data scientists will collaborate with business primes from Wireless and Residential business to develop a range of predictive models using advanced Machine Learning and AI techniques and make business recommendations to: Manage customer churn Acquire and retain customers Build Likelihood-To-Recommend (LTR/NPS) clusters or models Increase revenue through cross-sell and up-sell products/services Increase campaign effectiveness Overall Role Requirements: Serve as a subject matter expert in Data Science and Data Engineering technology and related processes.

Work with engagement leads, program owners, and leaders across divisions that can influence our Backlog and Roadmap.

Understand business issues and decompose them into measurable data or modelling requirements.

Analyze data from different sources and provide key insights throughout the strategy, design, development and deployment stages.

Build predictive models leveraging advanced ML/DL techniques, tools and analytics frameworks to expose actionable insights to support Rogers businesses, manage customer base and improve relevant KPIs & performance metrics.

Perform model tuning and frequent training to maintain the proper health of predictive models by ingesting newer data sources.

Monitor the model performance and make ongoing corrections by executing extensive model testing strategies.

Prepare comprehensive model development and deployment documentation.

Use advanced data mining techniques and perform data discovery to uncover the hidden patterns in data and translate learnings into a business actionable outcome.

Develop and maintain advanced knowledge of Rogers’s business and IT methodologies and apply this knowledge to project work.

Deliver, track and articulate model values to the program owners.

Skills/Qualifications: Bachelor or Master degree in a technology/analytical field such as Computer Science, Management of Information Systems, Mathematics, Statistics, Machine Learning/AI, Engineering, or other relevant technical fields.

A minimum of five years of relevant professional experience in an Agile environment with an excellent understanding of the underlying Statistical, Machine Learning theory and Predictive Modeling Lifecycle.

Deep expertise in developing and maintaining predictive models using advanced ML/DL techniques.

Proficiency in building Supervised learning models [ (classification and regression)
– tree-based (Random Forest, Stochastic Gradient Boosting and eXtreme Gradient Boosting, Decision Trees, Extra Trees, Regularized Greedy Forests), Generalized Linear Models, Discriminant models (LDA, MDA, FDA and QDA)], and Unsupervised learning models (Isolation Forest, Clustering algorithms).

Excellent programming knowledge in any of the languages (SAS, Phyton, R, Spark/Scala).

Expertise in data extraction, manipulation, feature engineering and validations.

Experience in building Deep neural networks (MLP, CNN, RNN) and the use of AI/Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras is an added advantage.

Experience in working with any of industry-standard analytical/ML modern ML platforms (like SAS Viya, Cloudera, Sage Maker Azure ML).

Experience in managing and leading complex projects and multiple projects simultaneously, including (but not limited to) building descriptive, predictive and prescriptive solutions and deploying these solutions in the cloud and/or on-premise systems.

Strong organizational skills and the ability to manage multiple tasks simultaneously.

Exceptional interpersonal, persuasion, and communication skills to communicate strategic and technical ideas to internal audiences to both inform and solicit buy-in from the end-user community.

Schedule: Full time Shift: Day Length of Contract: Not Applicable (Regular Position) Work Location: 1 Mount Pleasant (083), Toronto, ON Travel Requirements: Up to 10% Posting Category/Function: Marketing & Product Development Requisition ID: 218489 Together, we’ll make more possible, and these six shared values guide and define our work: Our people are at the heart of our success Our customers come first.

They inspire everything we do We do what’s right, each and every day We believe in the power of new ideas We work as one team, with one vision We give back to our communities and protect our environment What makes us different makes us stronger.

Rogers has a strong commitment to diversity and inclusion.

Everyone who applies for a job will be considered.

We recognize the business value in creating a workplace where each team member has the tools to reach their full potential.

At Rogers, we value the insights and innovation that diverse teams bring to work.

We work with our candidates with disabilities throughout the recruitment process to ensure that they have what they need to be at their best.

Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work.

You matter to us For any questions, please visit the Rogers FAQ.

Posting Notes: Information Technology & Engineering