Marketing Data Scientist


Job title: Marketing Data Scientist

Company: Scene+

Job description: Who we areJoin 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 needReporting 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 youOwnership. 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.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.We offer:Perks: Enjoy a competitive salary and benefits package, performance-based bonuses, and extra rewards from our owners, including discounted rates on mortgages, banking, movies, and more.Warmth: We foster a genuine culture where relationships, knowledge sharing, and creativity thrive.Growth: Working for Scene+ offers exposure to a range of industries represented by our owners and partners. You’ll have the chance to work on diverse initiatives, collaborate with cross-company teams, and expand your career path options both internally and with our owners.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.#LI-Hybrid
#LI-DNIPowered by JazzHR

Expected salary:

Location: Toronto, ON

Job date: Thu, 12 Sep 2024 02:16:00 GMT

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