job description
Are you a Data Scientist passionate about transforming the retail industry through cutting-edge analytics and AI? WalterMart Supermarket, Inc. is expanding its Bali-based innovation hub and seeking a visionary Senior Data Scientist to lead our data-driven decision-making initiatives in one of Southeast Asia’s most dynamic markets.
In this role, you’ll leverage machine learning, predictive modeling, and big data technologies to optimize inventory, personalize customer experiences, and drive operational efficiency across our growing network. Collaborate with cross-functional teams to turn raw data into actionable insights that shape the future of retail in Indonesia.
Based in the vibrant Canggu/Badung area, you’ll enjoy a flexible, results-driven work environment with opportunities to innovate in a fast-paced, tech-forward organization. If you thrive on solving complex problems and want to make a tangible impact in a high-growth sector, this is your chance to join a legacy brand at the forefront of retail transformation.
Responsibility
- Develop and deploy predictive models for demand forecasting, pricing optimization, and customer segmentation using Python, R, or Scala.
- Design and implement AI-driven solutions to enhance supply chain efficiency and reduce waste in retail operations.
- Collaborate with engineering teams to build and maintain scalable data pipelines and ETL processes for real-time analytics.
- Lead A/B testing frameworks to evaluate the impact of promotions, store layouts, and digital campaigns on sales performance.
- Create interactive dashboards (Tableau, Power BI) to visualize KPIs and present insights to non-technical stakeholders.
- Research and integrate emerging technologies (NLP, computer vision) to improve customer engagement and loss prevention.
- Mentor junior analysts and data engineers, fostering a culture of data literacy across the organization.
- Stay ahead of industry trends in retail analytics, generative AI, and cloud-based data solutions (AWS, GCP).
Qualifications
- Master’s or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
- 5+ years of experience in data science, machine learning, or business intelligence, preferably in retail, e-commerce, or FMCG.
- Proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and big data tools (Spark, Hadoop).
- Experience with deep learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS SageMaker, Google Vertex AI).
- Strong portfolio of end-to-end data projects, from data cleaning to model deployment and monitoring.
- Excellent communication skills to translate technical findings into business strategies for executives.
- Familiarity with retail metrics (GMROI, sell-through rates, basket analysis) is a plus.
- Ability to work in a hybrid setup (Bali office + remote) with occasional travel to Metro Manila for stakeholder meetings.