Job Description

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\xe2\x80\x99s 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 60 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, and working in partnership with, the Senior Manager, Machine Learning and Data Science, we are looking for a Data Scientist. You will play an integral part in developing world-class advanced machine learning models and big data analytics capabilities at Scene+. As one of Canada\'s top loyalty programs; you will tap into our rich cross-industry data resources to bring proven value across our ecosystem and delight our 13 million + members.

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 and their transactions. Your work will be all about the membership: understanding who they are, what they want and do not want.

Future forward impact. This is a chance to define and shape your role, introducing the latest approaches and technologies. You\'ll be part of a future-forward team that values authenticity and invites fresh perspectives. You will deepen your skills as you use our raw data and build machine learning models to further understand the millions of Canadians nationwide accessing our loyalty program.

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 growth of our people. Whether you want to increase your influence with us directly or with a parent company, there is always something to look forward to.

As our new Data Scientist, you will:

• Make a measurable impact. You will play a key role in data science, advanced analytics, and predictive modelling initiatives focusing on marketing, customer experience and operations.
• Build. You will work across the full Machine Learning life cycle; data wrangling, feature engineering, model development and deployment. You will monitor the impact of deployed models, interpret results and derive learning for model evolution.
• Solve. You will work cross-functionally with business partners to find opportunities for relevant data science solutions. You will present results with partners, simplifying complex solutions in a digestible manner.
• Seek and apply the latest trends. You will research and stay up to date with data science technology and methodologies, bringing forward new ideas and approaches. You will challenge existing processes demonstrating improvement with versions enhanced by data science.

You bring:

• The expertise. 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 in a customer-facing industry, with proven success in building machine learning models. You have experience with structured and non-structured 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.
• 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.
• Interpersonal skills. You can nurture relationships across internal and external teams: gaining trust to influence decisions. You have professional communication skills, including translating complex data science concepts and findings for different audiences and levels.

Why work for Scene+? The best of all worlds. 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 groceries.
• Transparency. Our strategic focus comes from our owners, along with funding and infrastructure support. The creative approach and direction is Scene\xe2\x80\x99s to run with.
• Warmth. We\xe2\x80\x99re nurturing an authentic culture of relationship building, knowledge sharing, and creativity. As we continue to grow and work together, everyone is invited to share ideas for fun with the team.
• The future. We are all about living in the moment while looking towards the future. Because to us, the only thing more exciting than today is tomorrow.

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 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

Powered by JazzHR

Scene+