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Catalyst Brands Careers: Data Scientist – Data & Analytics Team
At Catalyst Brands, we believe that data is the pulse of retail innovation. Our Data Science team, housed within the broader “Data and Analytics” department, is a cross-functional powerhouse. We solve complex problems that touch every corner of our business—from digital customer journeys to global supply chain logistics.
We are looking for a Data Scientist who balances technical mastery with business acumen. If you have the creativity to extract insights from massive datasets and the communication skills to translate them for non-technical leaders, you belong at Catalyst Brands.
About the Role: Bridging the Gap Between Data and Retail
As a Data Scientist, you will work at the intersection of technology and strategy. You won’t just build models; you will evangelise the “art of the possible” to our business community.
Key Responsibilities:
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Strategic Collaboration: Partner with decision-makers in Marketing, Store Operations, and Supply Chain to identify high-value analytical opportunities.
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End-to-End Solutioning: Translate business questions into analytical frameworks, ideate solutions, and build proof-of-concept (PoC) models with measurable success metrics.
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Scaling & Operationalisation: Lead the transition from successful PoC to enterprise-level implementation, ensuring long-term value capture.
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Visualisation & Insights: Use tools like Tableau and R Shiny to share complex findings in a clear, structured manner.
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Cross-Functional Synergy: Collaborate with IT partners on data acquisition and the deployment of intelligent decision systems.
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Championing Best Practices: Stay current with the retail analytics landscape and drive the adoption of data science standards across the organisation.
Qualifications & Technical Requirements
We are seeking a candidate with a strong academic foundation and a track record of applying machine learning to real-world scenarios.
Minimum Requirements:
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Education: Master’s degree in Engineering, Statistics, Physics, or a related STEM discipline.
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Experience: Minimum of 4 years of analytical experience, including at least 2 years in core Data Science.
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Machine Learning: Deep understanding of regression, classification, and neural networks.
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Coding & Databases: High proficiency in Python and R, combined with advanced SQL skills.
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Big Data: Experience working on distributed platforms like Hadoop using Hive.
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Data Visualization: Expertise in Tableau, R Shiny, or MicroStrategy.
Bonus Points:
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Experience with GenAI models and tools.
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A history of research publications in related fields.
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Strong understanding of both cloud and non-cloud data infrastructure.
Why Join Catalyst Brands?
Catalyst Brands is a leader in the retail sector, committed to using advanced analytics to improve customer experiences and operational efficiency. Here, your work directly influences the products on our shelves and the digital experiences of our global audience.
We offer a collaborative environment where you are encouraged to keep learning, experiment with new technologies, and drive meaningful impact at scale.
How to Apply
Ready to revolutionise retail analytics?
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Review Your Tech Stack: Highlight your experience with feature engineering and scaling models in your resume.
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Submit Your Application: Follow the link below to our careers portal.


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