Data Scientist

1 week ago

Toronto, Ontario, Canada Scene+ Full time

Who we are


Join Scene+ and be part of Canada's most robust lifestyle loyalty program with over 13 million members and growing We are a trusted brand, driven by the belief that there's always something to look forward to with rewards for every kind of life.

Our goal is to become Canada's favourite loyalty program by nurturing our Members with rewards their way.


We're the exciting joint venture of Cineplex, Empire, and Scotiabank, blending the energy, optimism, and atmosphere of a startup with the funding of three major players.

With over 80 team members and plans to grow more, we're an emerging, responsive company. We offer collaboration, accountability, challenges, and rewards to everyone who joins us.

Our motto is "Love what's next," and we believe it applies to your career too. Join us to help evolve the program, collaborate with amazing teams, and love what lies ahead.

Who we need


Reporting to the Senior Manager, Machine Learning and Data Science, we are looking for a Data Scientist to join our Data Science team.

You will play a critical role in building out a forecast methodology to predict and strategically act on our membership growth.

You will gain insights into our members, where they are coming from, and why they join. By analyzing data trends, you'll project monthly, quarterly, and yearly member acquisition.

You will leverage data analysis, statistical modelling, and predictive analytics to forecast the behaviour and utilization of loyalty and rewards points within our organization, directly shaping our future success.


  • This is a hybrid role with the requirement to work inoffice five days over two weeks._

What's in it for you:

_ Ownership._ We are a data science-driven company, and our membership is growing exponentially. You will be part of a fun, driven, small but scaling team that operates like a startup. We are adaptable, collaborative, and fast-paced, undertaking exciting transformational growth and optimizing our processes to be best in class. Your work will provide insights to drive planning for accelerated membership growth, uncover the hidden risks and trends, and optimize the member experience.

_ Future forward impact. _You'll be part of a future-forward team that values authenticity and invites fresh perspectives. This is an opportunity to take ownership of the forecasting process and work both independently and alongside data scientists, drawing from vast amounts of member and partner data. You will have the opportunity to support the team at leadership and owner presentations.

_ Anticipation._ With giants in banking, grocery, and entertainment as our owners and partners across various categories like travel, shopping and dining, this is an opportunity to gain exposure across a wide range of sectors. With over 30% of our team promoted within the last year, we have a proven history of supporting the development of our people. You will gain exposure to fraud analytics and have the chance to grow in data science and more.

As our new Data Scientist, you will:

  • _ Analyze._ You will ensure we pick the right data points to act on, identifying key engagement and potential disengagement indicators. You will write queries and build models to draw on vast amounts of internal and external data to gain an understanding of historical membership growth, member profiles, loyalty usage, points redemption, member behaviour, and transactional patterns.
- _ Forecast._ You will develop accurate forecasting models based on historical data and market trends. You will use statistical techniques, machine learning, and predictive analytics to anticipate member behaviour and point redemption patterns.
- _ Report._ You will create comprehensive reports and presentations to communicate forecasting results, insights, and recommendations to key stakeholders and senior management. You will translate complex data findings into easily understandable insights for non-technical stakeholders.
- _ Learn. _You will stay updated on industry best practices, advancements in loyalty program analytics, and emerging technologies to enhance forecasting methodologies and approaches.

You bring:

- _ The experience._ You may be a data scientist or forecast analyst from retail, banking, loyalty or another industry where you have developed skills in interpreting and integrating information from multiple internal and external sources. You are comfortable with all aspects of the analytics process, including managing many datasets, analyzing and ensuring data quality, generating and validating key insights, and influencing business decisions. You can drill down to the details, obtaining the right level of specificity to predict outcomes and support strategic objectives and recommendations.
- _ The technical skills._ You have worked in or alongside a data science team and you have a programming background. You love learning about new approaches and continuously seek answers to satisfy your cur

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