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← ARSEN Kawaijuku Tech Vietnam Co.,Ltd

Data scientist

ARSEN Kawaijuku Tech Vietnam Co.,Ltd · Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
IT - Software
Salary
Từ 38tr
Location
Quận 1, Hồ Chí Minh, Hồ Chí Minh

Overview

  • Participate in data science projects from problem definition through solution delivery.
  • Analyze business requirements and translate them into data-driven solutions and actionable insights.
  • Collect, clean, validate, and prepare structured and unstructured datasets for analysis.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities.
  • Develop, evaluate, and optimize statistical and machine learning models for prediction, classification, clustering, and other analytical tasks.
  • Design and conduct experiments to evaluate hypotheses and measure model performance.
  • Communicate findings and recommendations to stakeholders through reports, visualizations, and presentations.
  • Collaborate with Product Owners, business stakeholders, and engineering teams to define project goals and data requirements.
  • Monitor model performance, analyze results, and recommend improvements based on new data and business needs.
  • Stay up to date with advances in data science, machine learning, and analytics methodologies.

Requirements

  • Passion for applying data science to solve real-world problems, particularly in the education domain.
  • Experience developing predictive models or conducting research in education, learning analytics, or related fields.
  • Experience analyzing and modeling learning behavior, educational, or user interaction data.
  • Strong knowledge of statistics, probability, experimental design, and machine learning algorithms.
  • Experience with the end-to-end data science lifecycle, including data collection, preprocessing, feature engineering, model development, evaluation, and deployment.
  • Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch).
  • Experience working with SQL and relational or NoSQL databases.
  • Experience with data visualization tools and libraries (e.g., Matplotlib, Plotly, Tableau, or Power BI) is a plus.
  • Familiarity with MLOps, model deployment, or cloud platforms is an advantage but not required.
  • MS or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
  • Your Skills and Experience
  • At least 3+ years of experience in data science or a related field, with strong programming skills in Python, R, or similar languages.
  • Experience applying statistical analysis, machine learning, and predictive modeling to solve real-world business problems.
  • Strong understanding of statistics, probability, hypothesis testing, experimental design (A/B testing), and data analysis techniques.
  • Experience with the end-to-end data science lifecycle, including data collection, preprocessing, feature engineering, model development, evaluation, and interpretation.
  • Experience working with cloud computing platforms (e.g., AWS, Azure, or Google Cloud) is preferred.
  • Experience using large language models (LLMs) and generative AI for analytical or business applications is a plus.
  • Familiarity with data visualization tools and libraries (e.g., Matplotlib, Plotly, Tableau, or Power BI) is an advantage.
  • Excellent communication skills in English; proficiency in Japanese is a plus.
  • Strong background in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative discipline.
  • Passion for continuous learning and staying current with advances in data science, machine learning, and AI.
  • Strong analytical thinking and problem-solving skills, with the ability to translate business requirements into data-driven insights and predictive models.
  • Ability to communicate complex analytical findings effectively to both technical and non-technical stakeholders.
  • A collaborative team player who is willing to support colleagues and work effectively in cross-functional teams.
  • Flexible and adaptable, with the ability to contribute to different phases of a data science project as needed.
  • Why You'll Love Working Here

Benefits

  • Annual health check.
  • 13th month salary bonus and performance bonus (if any).
  • Support for gasoline (800,000 VND/month).
  • Happy hour party every Friday (1 hour), year-end party, and other events.
  • Wedding gifts and mid-autumn gifts on various occasions.
  • Support for costs of participating in online classes (work-related).
Bonus

Summary of facts from the official posting. View original ↗

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