Marketing Data Scientist

Who we are

Join Scene+ and be part of Canada's most robust lifestyle loyalty program with over 15 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 support of three iconic Canadian companies. With over 100 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, 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.

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 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.

At Scene+, we cultivate an innovative and collaborative environment. Guided by our values, we aim to exceed the expectations of our partners and members.

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% authenticity and passion, express your interest here. Please contact us by email at careers@scene.ca 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.