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Lead Data Scientist (Retail & Wholesale, AI Initiatives), Lotus's

Lead Data Scientist (Retail & Wholesale, AI Initiatives), Lotus's

Makro PRONuan Chan, Bangkok, TH
29 days ago
Job type
  • Quick Apply
Job description

Responsibilities

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.
  • Requirements

  • 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.
  • Technical Skills

  • 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.
  • Leadership and Business Acumen

  • 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.
  • Benefits

    Health Insurance  – At Lotus's, we care about your health! Group insurance from a top insurance company is included in your benefits—OPD, IPD, Emergency OPD

    Provident Fund  – Lotus's cares about your long-term plan! We offer 3% provident fund.

    Year-end bonus  – We include variable and performance bonus for our employees.

    Attractive Vacations days  – Enjoy our attractive annual leave. Let’s say the minimum is 16 days!

    No overtime  – We work 5 days a week with. We set our own goals and deadlines.

    Free car parking space  – No more stress or extra cost if you drive to work. We offer free parking space for our employees.

    Best Culture

  • Clear focus.
  • Diverse Workplace (Our members are from around the world!)
  • Non-hierarchical and agile environment
  • Growth opportunity and career path
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    Data Scientist • Nuan Chan, Bangkok, TH

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