Lead Data Scientist (Retail & Wholesale, AI Initiatives), Lotus's
Makro PRO ดูงานทั้งหมด
- นวลจันทร์, บึงกุ่ม, กรุงเทพฯ
- งานประจำ
- ฟูลไทม์
- Drive the end-to-end AI and Advanced Analytics initiatives to support CP Axtra’s Retail & Wholesale businesses.
- Develop and execute a forward-looking AI strategy that delivers measurable impact on revenue growth, cost efficiency, and customer engagement.
- Serve as a bridge between business and technology, ensuring AI adoption and scaling across multiple business units.
- Stay updated on global and local AI trends, including Generative AI, personalization, forecasting, and optimization, to strengthen CP Axtra’s competitive edge.
- Lead the design, development, and deployment of machine learning and AI models, including personalization engines, pricing optimization, demand forecasting, inventory management, and GenAI/NLP applications.
- Oversee experimentation, validation, and monitoring of AI/ML models to ensure scalability, reliability, and business integration.
- Ensure close collaboration with data engineering teams to enable robust pipelines and MLOps for production-grade solutions.
- Partner with Retail Operations, Marketing, Sales, Supply Chain, Finance, and IT to co-create AI use cases and drive adoption.
- Build strong relationships with stakeholders to align priorities, communicate trade-offs, and manage expectations effectively.
- Act as a trusted advisor to senior executives, translating complex AI insights into actionable recommendations.
- Evangelize the value of AI and data-driven decision-making across the organization.
- Mentor and coach a team of data scientists and analysts, fostering a culture of innovation, experimentation, and continuous learning.
- Promote cross-functional collaboration with Business Intelligence and Data Engineering teams to deliver integrated solutions.
- Encourage knowledge sharing and build internal AI/ML capability to strengthen organizational maturity.
- Define and monitor success metrics for AI initiatives, such as sales uplift, campaign ROI, operational cost reduction, and customer lifetime value.
- Continuously assess and optimize AI-driven processes to maximize business impact.
- Share learnings, case studies, and success stories to build trust and ensure alignment with business leaders.
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field
- 5+ years of experience in data science, advanced analytics, or AI applications (experienced in Retail or Wholesale domain preferred).
- Proven experience delivering AI/ML solutions from ideation to production with measurable business outcomes.
- Proficiency in Python, R, SQL, and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Familiarity with GenAI and NLP frameworks (e.g., LLMs, LangChain, RAG pipelines).
- Familiarity with cloud-based data platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop, Databricks).
- Experience with data visualization tools (e.g., Power BI, Tableau) and modern MLOps practices.
- Strong stakeholder management and communication skills across technical and business functions.
- Proven ability to prioritize and deliver projects with business impact.
- Understanding of retail and wholesale operations, including customer journey, pricing, promotion, assortment, and supply chain optimization.
- Demonstrated success in driving AI adoption, gaining executive buy-in, and scaling solutions across organizations.
- Clear focus.
- Diverse Workplace (Our members are from around the world!)
- Non-hierarchical and agile environment
- Growth opportunity and career path