Data Scientist

Who we are

We foster an entrepreneurial spirit that drives our mission: making tomorrow even more rewarding for our members. As a unique joint venture between Cineplex, Empire, and Scotiabank, and a network of partners, we have spent over 17 years delivering unparalleled rewards and experiences.

As we scale and evolve, our focus on innovation and technology is redefining what it means to be an iconic brand that prioritizes a member-centric experience. Data is not just a tool for us—it’s the engine powering our growth strategy and our journey to becoming Canada’s most beloved loyalty program. We leverage it to provide personalized rewards and create meaningful connections with our members.

Joining Scene+ now means stepping into a role where your passion and skills can make a tangible impact on millions of members. With rewards for every lifestyle, we believe there’s always something to look forward to. Come be a part of our journey—create exceptional outcomes, collaborate across teams, and shape the future with us.

Who we need

Reporting to the Manager of Data Science, we are looking for a Data Scientist to help drive the development of cutting-edge machine learning models and big data analytics capabilities at Scene+. You will play a key role in data science, advanced analytics, and predictive modelling initiatives, addressing various stakeholder needs and business use cases. You will leverage our diverse cross-industry data and collaborate with the team to deliver insights and presentations that are clear and actionable for both technical and non-technical audiences.

This is a hybrid role, working 5 days over a 2 week period in the office.

In this role, you will:

1. Build: You will work across the entire Machine Learning lifecycle, including data wrangling, feature engineering, model development, and deployment. Post-deployment, you will monitor the performance of models, interpret results, and derive insights for continuous model improvement.
2. Solve: You will collaborate with business partners to identify opportunities for data science-driven solutions. Your role will involve conducting exploratory data analysis (EDA), refining predictive models using advanced algorithms, and leveraging data visualization techniques to summarize critical insights. You will present these results to stakeholders, simplifying complex concepts into clear, actionable insights.
3. Grow: You will research and stay current with the latest trends in data science technologies and methodologies, continuously bringing forward new ideas and approaches. You will challenge existing processes, driving improvement through data science-enhanced solutions.

You bring:

1. The knowledge: You are a Data Scientist driven by curiosity and a passion for applying a strict scientific approach to find meaningful answers in the data. You have worked with big data sets and successfully built machine learning models. You have experience with structured and unstructured data and have worked at all stages of data science (problem definition, data acquisition and wrangling, modelling, and feature engineering and deployment). You have exposure to the Machine Learning lifecycle and statistical concepts.
2. The technical skills: You can learn new tools independently and quickly. You are proficient in using one or more statistical programming languages (i.e., Python/Pyspark) for data science; have demonstrated experience writing complex SQL queries to extract and integrate data from multiple database sources; and have worked with open source libraries such as Kubernetes, Tensorflow, or PyTorch. You have worked with relational databases, big data platforms, data lakes (Databricks, Spark, Snowflake, or similar), and cloud infrastructure.
3. Interpersonal skills: You can nurture relationships across internal and external teams, gaining trust to influence decisions. You are open to sharing and receiving feedback and have the potential to lead the work of others. You have professional communication skills, including translating complex data science concepts and findings for different audiences and levels.

Join us.

We are a dynamic and agile organization that works collaboratively to anticipate and meet the business needs of our partners and the lifestyle needs of our members. People who thrive at Scene+ are mission-driven and eager to contribute to a brand that’s shaping the future of loyalty. As part of our team, you will excel in an environment that values ownership and practical, intelligent solutions. You will have the chance to create and refine processes, identify and address challenges with scalable solutions, and introduce best practices that drive our success.

What you can expect from our interview process:

• A virtual interview with a Talent Advisor discussing your interest in the role and the company.
• A coding assessment led by a data scientist on our team.
• An interview with the Manager, Data Science to share your experience and discuss how you will work with the team.
• An interview with the Director, Data Science to expand on how your work with the Data Science team will support the mission and growth of Scene+.