Data Scientist ( 3+ years Exp)

GTN_IDN PT Global Tiket Network; Indonesia; On-site; IDR 111,600,000 - 223,200,000; Full time

Job summary

GTN_IDN PT Global Tiket Network in Indonesia is seeking a data analyst with a strong background in machine learning. This role involves analyzing data to drive business solutions and improve customer experiences through robust data models.

The ideal candidate has at least 3 years of experience in data analysis, a relevant Bachelor’s degree, and proficiency in tools like R, Python, and SQL. Excellent communication skills are essential for coordinating with teams effectively.

Qualifications

• Minimum 3 years of hands-on experience in data analysis and machine learning.
• Experience in a product-driven or business-focused environment.
• Knowledge of data science concepts and machine learning techniques.

Responsibilities

• Identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data to optimize product development and marketing techniques.
• Design, build, and validate data models and ML algorithms.

Skills

Data analysis

Machine learning

Proficient in R, Python, SQL

Strong problem solving

Excellent communication skills

Education

Bachelor in Computer Science, Statistics, or Mathematics

Tools

Data visualization tools

Job description

We think you also hate when travel app is giving you a headache, right? A slight misinformation can ruin the trip. That is exactly what we are tackling as t-fam! Making sure that our 50+ million users have the best experience in crafting their own adventure.

Responsibilities

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Design, build, and validate robust data models and machine learning/deep learning algorithms to improve customer experience, optimize revenue, refine targeting, and support smarter decision making across the organization.
• Plan, monitor, and evaluate A/B tests and other experimentation activities for ML models, including test design, success metrics, and model performance assessment.
• Collaborate closely with machine learning engineers and other stakeholders to productionize models, build scalable data pipelines, and ensure reliable deployment and monitoring of ML solutions.
• Implement processes, dashboards, and tools to monitor data quality, model performance, and business impact, and iterate on solutions based on findings.
• Communicate insights, trade‑offs, and recommendations clearly to both technical and non‑technical audiences through reports, visualizations, and presentations.

Qualifications

• Minimum 3 years of hands‑on experience in data analysis and machine learning, ideally in a product‑driven or business‑focused environment.
• A Bachelor in Computer Science, Statistics, Mathematics, or another quantitative field.
• Strong problem solving skills with an emphasis on product development.
• Proficient in programming skills (R, Python, SQL, etc.) for data acquisition, processing and analysis from large data sets.
• Knowledge of data science concepts (regression, classification, clustering, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Knowledge of a variety of machine learning techniques (Random forest, SVM, artificial neural networks, etc.) and their real‑world advantages/drawbacks.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.