Marketing Data Scientist

Toronto - Hybrid, ON, Canada

Full Time

Data Science

Mid Level

Who we are

At Scene+, 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 Senior Manager, Marketing Science, we are looking for a Marketing Data Scientist who brings the technical expertise and practical knowledge to leverage analytics and demonstrate marketing effectiveness. You will play a pivotal role and take ownership of our post-campaign analytics, developing our omnichannel campaign deployment, and delivering data-driven recommendations for personalized member offers. From testing new campaigns, building dashboards, and presenting impact, you will work strategically and creatively to ensure we are engaging and delighting our members.

This is a hybrid role requiring work in-office five days over two weeks.

What's in it for you

Ownership. We are a data science driven company. Our customer database is one of Canada's largest and most complex, with data from dozens of different partners and millions of members. Every project you work on will have a sizeable impact on the organization as a whole and our loyalty program members.

Future forward impact. This is a chance to define and shape your role as part of a future-forward team that values authenticity and invites fresh perspectives. Joining us now is a chance to drive decisions and bridge post-campaign analytics with marketing plans. You will have the opportunity to recommend tools, approaches, and best practices as well as expand our data-driven marketing capabilities.

Anticipation. We have a proven history of supporting the growth of our people. You will work with a manager whose focus is to remove barriers and empower his team to collaborate seamlessly and accomplish great things. You will be supported in your day-to-day deliverables - growing your presentation skills, and contributing to decision-making - and in your overall career development. Whether you want to move into Machine Learning and data modelling or explore another area of our business or one of our parent companies, there is always something to look forward to.

As our new Marketing Data Scientist, you will:

Build. You will code and develop omnichannel campaigns for member engagement and offers. You will work with partners to define campaign objectives, target audiences, test requirements, and delivery timelines.
Analyze marketing data. You will monitor campaign performance and consult on adjustments to marketing strategy based on your findings. You will conduct post-campaign deep dives, collaborating with Marketing, Partnerships and Data Science to implement changes to messaging and ensure alignment on objectives.
Optimize. You will augment existing campaigns with insights and tools created by the data science team. You will identify gaps in data point collection, demonstrate areas for further exploration and targeting, and evolve the entire campaign process to improve efficiency and reduce errors. You will implement campaign testing to drive meaningful outcomes.
Grow. You will research new tools, trends, and approaches, and work with vendors to stay up to date with the latest methodologies and best practices in the field.

You bring:

The analytics. You have a background in data science and experience in marketing and campaign analytics. Ideally, you have worked on customer loyalty programs, identifying trends and opportunities to create effective, engaging campaigns. You have worked with big data sets in a customer-facing industry and you can apply your findings to drive decisions and pinpoint gaps in data point collection. You have experience with testing frameworks like A/B, long-term control holdouts and price optimization. You can distill data to key relevant findings, create and make presentations, tell a story and use data visualization to enhance your message.
The technical skills. You can learn new tools independently and quickly. You are proficient in MS Office, including the strengths in building presentation decks in PowerPoint that succinctly convey results and provide data-based recommendations. You have a solid foundation using Python/Pyspark for data science, writing complex SQL queries to extract and integrate data from multiple database sources, and using Tableau for data visualization. You have strong digital business acumen and a proven record of successfully working with marketing automation tools like Salesforce, Hubspot, Adobe, Moengage, etc.
Interpersonal skills. You can nurture relationships across internal and external teams: gaining trust to influence decisions. You have professional communication skills, including translating complex analytics 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.

Our values guide our work, and we consistently measure our progress against these principles.

Member Focus: We prioritize the needs and experiences of our members in everything we do.
Teamwork: We believe in the power of collaboration and working together to achieve our goals.
Continuous Improvement: We strive for excellence by constantly seeking ways to improve and innovate.
Integrity: We uphold the highest standards of honesty and transparency in our actions.
Results Driven: We are committed to achieving outstanding outcomes and delivering value.
Passion: We are passionate about our work and dedicated to making a positive impact.

What you can expect from our interview process:

A virtual interview with a Talent Advisor discussing your interest in the role and the company.
An interview with the Senior Manager Marketing Science, preceded by a case study assignment. During this 1-hour time slot, you will present your case study analysis and answer questions. You will have the chance to learn more about the team and to share your experience. It's a chance to ask questions about the company and the role.
An interview with the Director, Data Science, to share why you are interested in joining Scene+ in this role, and share more about your professional goals. It's a chance to ask questions about the company's growth trajectory.

Apply now.

If you have 70% of what we're looking for and 100% passion for the work we do, express your interest here. Please email us at [email protected] and let us know what accommodations or assistance we can provide you during the application process.

At Scene+, we're committed to diversity, equity, and inclusion. We strive to integrate these values into everything we do, from our partners and offers to our teams and interactions. We welcome and appreciate candidates from diverse backgrounds, including women, persons with disabilities, Black, Indigenous and People of Colour (BIPOC), the LGBTQ2SIA+ community, and other equity-seeking groups.

#LI-Hybrid
#LI-DNI

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Help us maintain an inclusive culture.

We want anyone, anywhere to have the same chance and opportunity to build a life they love and that they are proud of. We are proactive in creating a belonging environment that anyone can be a part of. Thoughtful, data-driven decision-making is core to this success. We ask these questions to strengthen our practices by using data to identify and mitigate unconscious bias in our hiring process.

If you choose to answer them, the responses are ONLY used in aggregate to help us identify areas for improvement in our processes. Your responses, or your choice to prefer not to say, will not be associated with your application and will not in any way be used in the hiring decision. For one, that’s illegal, and we’re really not into breaking the law. Keep being awesome, and thank you for considering work at Scene+.

1.) Indigenous peoples: Based on the definition below, are you an Indigenous person?
"Indigenous peoples" means First Nations, Inuit or Métis peoples of Canada.*

2.) Persons with disabilities: Based on the definition below, are you a person with a disability?
"Persons with disabilities" are individuals who have a long-term or recurring physical, mental, sensory, psychiatric, or learning impairment, and who consider themselves to be disadvantaged in employment by reason of that impairment, or believe that an employer or potential employer is likely to consider them to be disadvantaged in employment by reason of that impairment. This includes persons whose functional limitations owing to their impairment have been accommodated in their current job or workplace.*

3.) Members of visible minorities: Based on the definition below, are you a member of a visible minority?
"Members of visible minorities" are persons, other than Indigenous peoples, who are non-Caucasian in race or non-white in colour, regardless of birthplace.*

4.) To which gender identity do you most identify?*

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6.) Are you legally eligible to work in Canada on an ongoing basis? **

7.) Have you previously worked for Scene+? **

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9.) Do you have professional experience using Python/PySpark for data science and writing complex SQL queries, specifically working with marketing data?*

10.) At which company did you use Python/PySpark and SQL working with marketing data?*

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