about the company.
Our client is a prominent global conglomerate and retail group in Hong Kong operating an expansive network of physical locations and digital platforms worldwide. Through its central data and analytics innovation hub, they invest heavily in advanced analytics, commercial intelligence, and Generative AI to transform massive customer transaction datasets into high-impact growth strategies.
about the team.
You will join the central analytics division as a key commercial leader, guiding a specialized team of data scientists and analytics engineers. The team culture is collaborative, business-focused, and dynamic, offering an ideal environment for leaders who excel at bridging high-level commercial strategy with technical data execution.
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about the job.
- Lead, mentor, and empower a team of data scientists and analytics engineers, aligning technical projects with core business objectives.
- Act as the primary translator between C-level commercial stakeholders, marketing, supply chain, and technical data science teams.
- Translate complex data science outputs into clear business stories, actionable retail strategies, and measurable ROI.
- Oversee the commercial application of predictive and optimisation models, including demand forecasting, churn prediction, algorithmic pricing, and customer personalisation.
- Drive business adoption of advanced analytics, Generative AI agents, and LLM-powered internal tools to enhance self-service business intelligence across regional teams.
- Partner with data engineering and governance teams to ensure data quality, model usability, and compliance with global data privacy standards.
skills & experience required.
- Minimum 6+ years of data science or commercial analytics experience, with at least 2 years in a formal leadership, team lead, or management capacity.
- Proven track record in Retail, E-commerce, FMCG, or Consumer Goods analytics, with strong business acumen.
- Strong technical understanding of machine learning concepts and predictive modeling (Python, R, or SQL), with the ability to evaluate model outputs for commercial relevance.
- Demonstrated experience in stakeholder management and executive storytelling, with proven capability in explaining technical data science to non-technical business leaders.
- Familiarity with cloud data environments (Azure, AWS, or GCP) and business intelligence tools (PowerBI, Tableau) for executive reporting.
- Degree (Bachelor’s, Master’s, or Ph.D.) in Business Analytics, Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
If you are interested in this role, please click 'Apply Now' or send your CV directly to Adyson.yau@randstad.com.hk.
