Lead Data Scientist (Retail & Wholesale, AI Initiatives)

Key Responsibility:

Leadership and Strategy

• 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.
  

Analytics and AI Execution

• 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.
  

Business Partnership

• 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.
  

People Leadership and Collaboration

• 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.
  

Performance Monitoring and Optimization

• 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.
  

Qualifications:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master’s or PhD strongly preferred).

• 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.