Deskripsi Pekerjaan
Are you a data-driven professional passionate about retail excellence? MR.DIY, Southeast Asia's leading home improvement retailer, is seeking a talented Data Scientist (Sr Exec/ Assistant Manager level) to join our team in the Kajang/Bangi/Serdang area. In this pivotal role, you will be at the heart of our operations, driving strategic decision-making through advanced analytics, category optimisation, and intelligent stock allocation.
As we continue to scale rapidly, we are looking for an analytical mind capable of transforming complex datasets into actionable insights that enhance product availability and store performance. You will work closely with cross-functional teams, including supply chain, category management, and procurement, to ensure our merchandise strategy is backed by data. If you thrive in a fast-paced retail environment and have a knack for building predictive models that solve real-world inventory challenges, we want to hear from you.
Tanggung Jawab
- Develop and maintain advanced predictive models for category demand forecasting and product lifecycle management.
- Optimize inventory allocation strategies across the store network to maximize sell-through rates and minimize stockouts.
- Analyze large-scale retail datasets to identify consumer trends, pricing opportunities, and category performance gaps.
- Collaborate with Category Managers to provide data-backed insights that drive assortment planning and shelf-space strategy.
- Automate reporting and dashboarding using BI tools (e.g., Tableau, Power BI) to track key performance indicators.
- Translate complex data findings into simple, executive-level summaries to influence business stakeholders.
- Support the design and implementation of A/B testing frameworks for promotional campaigns and store-specific product launches.
Kualifikasi
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Minimum 3-5 years of experience in data analysis, data science, or inventory optimization (Retail/FMCG experience preferred).
- Strong proficiency in Python or R for statistical analysis and data manipulation.
- Advanced SQL skills with experience working with large relational databases.
- Hands-on experience with Machine Learning libraries (e.g., Scikit-learn, TensorFlow, or PyTorch) for predictive analytics.
- Excellent communication and presentation skills, with the ability to bridge the gap between technical teams and management.
- Strong analytical problem-solving skills and a proactive mindset toward business improvement.