Key Responsibility:
- Conduct data collection, cleaning, and exploratory analysis to support retail-related use cases such as customer insights and product performance.
- Assist in developing and evaluating machine learning models for forecasting, segmentation, recommendation, and customer behavior analysis.
- Support GenAI and LLM-related tasks, including text classification, summarization, embedding generation, prompt testing, and preparation of datasets for NLP or RAG-style workflows.
- Prepare and document features for analytics and machine learning workflows, ensuring data quality and reproducibility.
- Build dashboards and visualizations using Power BI, Tableau, Plotly, or matplotlib to present insights to business stakeholders.
- Collaborate with senior data scientists, data engineers, and business teams to understand requirements and translate them into analytical tasks.
- Participate in team knowledge-sharing sessions and continuously develop technical skills.
Qualifications:
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Minimum of two years of experience in data analytics or data science.
- Proficiency in Python, including pandas, numpy, and scikit-learn.
- Strong SQL skills for working with large datasets.
- Understanding of common machine learning techniques such as regression, classification, and clustering.
- Exposure to GenAI or LLM tools and libraries such as Hugging Face, LangChain, or OpenAI APIs.
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
- Experience with basic NLP tasks such as tokenization, text cleaning, or embedding generation.
- Hands-on experimentation with LLMs or GenAI workflows.
- Familiarity with Git or collaborative coding practices.
- Experience in retail, e-commerce, or consumer analytics environments.
CP AXTRA | Lotus's
CP AXTRA Public Company Limited.
Nawamin Office: Buengkum, Bangkok 10230, Thailand
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