Product Data Scientist — ML for Impact

tiket.com; Jakarta Pusat; On-site; IDR 279,000,000 - 468,720,000; Full time

Job summary

tiket.com is hiring a data-focused role in Jakarta to help craft better travel experiences through data and ML. You will work with stakeholders to identify opportunities, analyze large datasets, and build models that drive product decisions and revenue growth.

The role requires hands-on experience in data analysis and ML, a quantitative degree, and strong communication. Join a fast-paced team building scalable data solutions for millions of users.

Qualifications

• Minimum 3 years in data analysis or ML in product/business contexts.
• Bachelor degree in a quantitative field as listed.
• Strong problem solving and cross-team collaboration.
• Proficiency in R/Python/SQL for data extraction and analysis.
• Knowledge of ML concepts and model evaluation.

Responsibilities

• Identify opportunities to use company data for business solutions.
• Mine and analyze data to improve product dev, marketing and strategy.
• Design and validate data models and ML/DL algorithms to enhance customer experience and revenue.
• Plan and evaluate A/B tests and model performance metrics.
• Collaborate with ML engineers to productionize models and data pipelines.
• Implement dashboards to monitor data quality, model performance and impact.
• Communicate insights and recommendations to technical and non-technical audiences.

Skills

Problem solving

Communication skills

Curiosity / learning mindset

Education

Bachelor in CS/Statistics/Math or quantitative field

Tools

R

Python

SQL

Job description

tiket.com is hiring a data-focused role in Jakarta to help craft better travel experiences through data and ML. You will work with stakeholders to identify opportunities, analyze large datasets, and build models that drive product decisions and revenue growth.

The role requires hands-on experience in data analysis and ML, a quantitative degree, and strong communication. Join a fast-paced team building scalable data solutions for millions of users.