Data Analytics
Senior Data Scientist (Analytics)
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Jakarta, Indonesia
Work mode:
Onsite
Published on:
19 August 2026
What they need
Get to Know the Team
We're looking for a Senior Data Scientist (Analytics) to join our dynamic Marketing and Growth team in Jakarta, Indonesia. In this role, you will be at the forefront of driving data-informed growth strategy and user engagement across our organization. You will partner closely with Marketing and Growth teams to define and implement regional strategies aimed at expanding our user base and enhancing user engagement.s
Get to Know the Role
We are looking for a Senior Growth Data Scientist specializing in CRM programs to join our dynamic team in Jakarta, Indonesia. In this role, you will do more than traditional analytics: you will combine advanced CRM analytics, machine learning, and experimentation with an AI-first mindset to build scalable, intelligent growth solutions. Beyond standard data workflows, you will identify opportunities to create AI-powered frameworks and self-serve tools—utilizing technologies such as Large Language Models (LLMs) and Generative AI—to scale growth strategies and optimize customer relationship management programs. Reporting to the Manager who is based in our Singapore Office.
The Critical Tasks You Will Perform
- Develop and implement data-driven strategies to enhance customer acquisition, retention, and engagement.
- Design and conduct A/B tests and experiments to improve CRM programs and marketing campaigns.
- Build predictive models to forecast customer behavior and identify growth opportunities.
- Analyze customer lifecycle data to obtain applicable insights and improve customer segmentation.
- Drive plans and initiatives involving Large Language Models (LLMs) and Generative AI to automate workflows and enhance CRM personalization.
- Develop automated, self-serve AI solutions and analytical frameworks that enable stakeholders to make faster, scalable business decisions.
- Collaborate with Product, Marketing, and Engineering teams to translate complex analytical findings into clear, applicable recommendations.
- Create dashboards and systemic reporting solutions to communicate main performance metrics and trends.
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