Back to job search

Data Scientist

Pt Integrity Asia (Jakarta Metropolitan Area)
DKI Jakarta, Indonesia 🇮🇩
Integrity Indonesia provides our clients with the most effective and reliable fraud prevention, detection, and investigation services, carried out by local experts and upheld with unwavering standards of Integrity. Established in 2001, Integrity Indonesia has served as the headquarters of Integrity Asia ever since. Integrity Indonesia provides a range of services including Employment Background Screening, Due Diligence, Brand Protection, Whistleblowing Systems, Mystery Shopping, Claim Insurance, and many more.

About this position

We're looking for a Data Scientist with expertise in web scraping and ETL to build and maintain data pipelines. This role will automate the extraction, transformation, and loading of data from sources like web pages, APIs, and databases into centralized storage systems. This role's goal will be to ensure the data is integrated smoothly, focusing on performance, reliability, and quality.

Responsibilities

What you'll do:
• Team up with a Python developer to create scripts that collect data from websites and APIs.
• Use tools like Selenium or Puppeteer to get data from web pages.
• Build and manage processes to collect, transform, and load data.
• Make sure these processes run smoothly with lots of data.
• Clean up data by fixing errors.
• Create easy-to-use scripts for future data cleaning.
• Combine data from different sources into one format.
• Follow legal and privacy rules for all data activities.
• Use security measures to protect data.

Requirements

What we're looking for:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, IT, or a related field.
• 2-5 years in data science, data engineering, or similar roles, focusing on web scraping, ETL, and data integration.
• Experience from projects, open-source contributions, or personal/freelance work.
• Proficient in Python, SQL, and related tools.
• Experience with ETL tools and frameworks.
• Skills in data management, transformation, and database handling.
• Familiarity with APIs, automation, scripting, and cloud platforms.
• Strong verbal and written English skills.
• Good communication skills.
• Understanding of data privacy laws.