Dedicated to telling stories and creating experiences, Indigo is always looking for bright, energetic and customer-focused people who can help bring our exciting mission to life in one of our more than 170 Indigo, Indigospirit, Chapters and Coles stores across Canada. We offer a variety of exciting opportunities at our retail stores, distribution centres, and home office for people who share our passions and want to be part of a dynamic and enriching culture. We are Canada's Cultural Department Store We seek to ignite creativity and innovation every day We give back to the communities in which we operate The Data Scientist plays a crucial role in supporting Indigo's data-driven initiatives under the guidance of the Manager, Data Science.
This role will be responsible for building, deploying, and optimizing machine learning models and data-driven solutions that support Indigo's personalization and business strategies. This role will work closely with cross-functional teams to analyze large datasets, generate actionable insights, and improve decision-making through data science and AI applications KEY PERFORMANCE METRICS Improvements in quality and accuracy of product and customer data Collaboration with internal partners on to drive data literacy and understanding Contribution to driving overall data enablement strategy. Develop and deploy machine learning models for customer insights, personalization, and operational optimization Leverage data science techniques to analyze large datasets and uncover meaningful business insights Collaborate with teams across digital marketing, loyalty, merchandising, and e-commerce to integrate AI-driven solutions Optimize predictive models for scalability, accuracy, and real-time deployment Utilize Power BI or Tableau to build compelling dashboards and reports that drive data-informed decisions Stay up to date with advancements in AI, machine learning, and Gen-AI applications.
Work collaboratively with cross-functional teams to ensure alignment on data-driven initiatives Contribute to knowledge-sharing sessions and mentorship within the data team Share technical knowledge with others and actively seek to learn from those more knowledgeable than yourself Actively seek feedback from peers and stakeholders to refine models and analyses Encourage others to freely share their point of view and be open to feedback Support the implementation and enhancement of data science methodologies across the organization Contribute to the development and utilization of Indigo's data language and ensure its integration into business processes Celebrate diversity of thought and have an open mindset Take an active role in fostering a culture of continual learning, taking risks without the fear of making mistakes Reports to: Manager, Data Science Performance Marketing Data Engineering Data Science IT Work Experience / Education / Certifications \~ University's (master's is preferred) degree in statistics, mathematics, economics, data science, or computer science, or a related field \~3+ years of demonstrated experience in data science, AI, machine learning, or advanced analytics, with experience leading end-to-end projects preferably in the retail sector \~ Proven ability and experience analyzing customer data for actionable business insight \~ Strong programming skills in Python, SQL and Spark, with experience using libraries such as Pandas, Numpy, scikit-learn, TensorFlow, PyTorch, and Keras Proficiency in Power BI or Tableau for data visualization, reporting, and storytelling Demonstrated expertise in building predictive ML/AI algorithms (supervised and unsupervised) and recommendation systems Familiarity with cloud-based data platforms, such as Snowflake, is highly valued Proficiency in Git and version control, and experience with MLOps practices is a bonus Passion for leveraging data science to enhance customer experience and business performance Dedication to exceed performance expectations and approaches work with a sense of urgency and passion Passionate about the Indigo brand At Indigo, we are committed to our communities, our customers, and each other; We know that fostering diversity and inclusion brings out your full potential and creates a joyful and welcoming environment for everyone. We welcome all applicants and encourage applications from individuals who identify as Black, Indigenous, a person of colour, LGBTQ2+ and people with disabilities. Accommodations are available upon request to individuals who self-identify as having a disability or special need.
