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    Data Scientist

    Full-time
    Bangkok, Thailand
    Posted: June 16, 2025
    Position Details

    Responsibilities:

    • Analyze and interpret structured and unstructured data to uncover insights.

    • Utilize data exploration techniques and tools such as Pandas, NumPy, and SQL.

    • Collaborate with stakeholders to define key performance indicators (KPIs) and business metrics.

    • Develop, train, and evaluate machine learning models to solve business challenges.

    • Work with frameworks like Scikit-learn, TensorFlow, or PyTorch.

    • Optimize models through hyperparameter tuning and feature engineering.

    • Perform data cleaning, transformation, and feature extraction to prepare datasets for modeling.

    • Work closely with Data Engineers to ensure data availability and quality.

    • Assist in deploying models to production environments on cloud platforms such as GCP.

    • Monitor model performance and suggest improvements based on real-world data.

    • Work cross-functionally with business teams, product managers, and engineers to deliver data-driven solutions.

    • Present findings and recommendations to both technical and non-technical audiences.

    • Stay updated with the latest trends in AI and Data Science.

    • Participate in internal knowledge-sharing sessions and contribute to team development.


    Qualifications:

    • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.

    • 2-3 years of experience in Data Science, Machine Learning, or related roles.

    • Proficiency in Python (e.g., Pandas, NumPy, Scikit-learn)

    • Experience with SQL and NoSQL databases (e.g., BigQuery, MongoDB).

    • Familiarity with cloud platforms such as Google Cloud Platform (GCP).

    • Knowledge of version control systems such as Git.

    • Strong analytical, problem-solving, and communication skills.

    • Experience in A/B testing and statistical analysis is a plus.

    • Understanding of basic MLOps practices and model deployment is an advantage.

    • Experience with BI tools such as Looker Studio or Power BI.

    • Knowledge of Agile methodologies.

    • Exposure to NLP, Computer Vision, or Time Series Analysis.

    • Hands-on experience with containerization tools like Docker.


    Skills
    Analytical Skills
    SQL
    Communication skills

    Functions
    Data & Analytics

    Job Overview

    Job Type:

    Full-time


    Company

    CJ MORE logo

    CJ MORE

    12 active jobs

    Industry:

    Consumer Goods, Retail & E-Commerce

    Ready to Apply?

    Submit your application now and take the next step in your career journey.

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