Data Science Leader: Retail Strategy & Growth (HK)

Randstad Hong Kong Limited; Hong Kong; On-site; HKD 900,000 - 1,700,000; Full time

Job summary

Randstad Hong Kong Limited is seeking a senior commercial analytics leader to guide a team of data scientists and analytics engineers in a central analytics division. You will translate complex data outputs into actionable retail strategies and measurable ROI for C-level stakeholders.

Responsibilities include mentoring the team, aligning projects with business objectives, and championing Generative AI adoption across regional teams while ensuring data quality and governance.

Qualifications

• 6+ years in data science or commercial analytics with leadership experience.
• Retail/e-commerce analytics background with strong business acumen.
• Ability to translate data science into commercial strategies for executives.
• Experience with cloud environments and BI tools for executive reporting.

Responsibilities

• Lead and mentor a team of data scientists and analytics engineers.
• Translate complex outputs into clear business stories and ROI.
• Oversee predictive/optimization models across demand forecasting and pricing.
• Drive adoption of analytics and Generative AI tools across regional teams.
• Ensure data quality and governance with data engineering teams.

Skills

Commercial Strategy

Business Translation

Omnichannel Retail

Online-to-Offline

O+O Strategy

FMCG Analytics

Customer Analytics

Personalisation Engines

Demand Forecasting

Algorithmic Pricing

Churn Prediction

ROI Optimization

Executive Storytelling

Education

Bachelor Degree

Tools

Python

R

SQL

PowerBI

Tableau

Azure

AWS

GCP

Job description

Randstad Hong Kong Limited is seeking a senior commercial analytics leader to guide a team of data scientists and analytics engineers in a central analytics division. You will translate complex data outputs into actionable retail strategies and measurable ROI for C-level stakeholders.

Responsibilities include mentoring the team, aligning projects with business objectives, and championing Generative AI adoption across regional teams while ensuring data quality and governance.