Job Description

  1. Develop and implement machine learning algorithms for predictive modeling and data analysis
  2. Analyze and interpret data to identify trends, patterns, and insights
  3. Collaborate with cross-functional teams to identify opportunities to improve business performance
  4. Design A/B testing experiments to evaluate the effectiveness of new products, features, and marketing campaigns
  5. Formulate approaches to solve problems using well defined algorithms and data sources


General Requirements

  1. Undergraduate student (3rd or 4th year), Diploma student (last year), or fresh graduate (max 1 year) from Data Science, Computer Science, Statistics, Mathematics, or other related majors.
  2. Minimum 3.00 of 4.00 GPA. 3
  3. Eager to learn, high motivation.
  4. Versatile and having a good work ethic.
  5. Creative and able to work in a team.
  6. Committed to Internship minimum 4 months.
  7. Proficient in using Office Software (Microsoft Office, WPS, Polaris, LibreOffice).


Specific Requirements

  1. Knowledge or study background of data science algorithms, including machine learning and statistical modeling.
  2. Strong data processing skills, including data cleaning and manipulation.
  3. Strong analytical and problem-solving skills.
  4. Proficiency in Python, R, SQL, and data visualization tools like power BI & tableau.
  5. Strong technical documentation skills and a strong ability to translate technical concepts.

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