Data Scientist Hourly Rates & Salary in Indonesia [June, 2026]
Updated May 9, 2026
Quick Overview: Data Scientists in Indonesia earn between Rp50K and Rp150K per hour for local work. International client rates range from $15 to $65 per hour depending on experience and specialization. Monthly salaries span from Rp8M for junior roles to Rp60M for senior positions in Jakarta and other major tech hubs.
Indonesia’s data science market grows rapidly as companies invest in analytics and machine learning. Jakarta, Bandung, and Surabaya lead in opportunities and competitive compensation. Premium rates go to professionals with expertise in deep learning, natural language processing, and cloud-based ML platforms. International clients pay 40 to 60 percent more than local Indonesian companies.
Salary Range Overview
Junior Data ScientistRp8M – Rp18M
Mid-Level Data ScientistRp18M – Rp35M
Senior Data ScientistRp35M – Rp55M
Lead/ArchitectRp55M – Rp85M
Based on current market data
Data Scientist Salary Ranges in Indonesia (2026)
Junior Data Scientist
Rp8M – Rp18M
Monthly Salary
Mid-Level Data Scientist
Rp18M – Rp35M
Monthly Salary
Senior Data Scientist
Rp35M – Rp55M
Monthly Salary
Lead/Architect
Rp55M – Rp85M
Monthly Salary
Detailed Data Scientist Hourly Rates in Indonesia
Specialization / Experience
Local Rate (IDR/hour)
International Client Rate (USD/hour)
Freelance Rate (USD/hour)
Junior Data Scientist (0-2 years)
Rp50K – Rp110K
$15 – $25
$18 – $30
Mid-Level Data Scientist (2-5 years)
Rp110K – Rp210K
$25 – $42
$30 – $50
Senior Data Scientist (5-8 years)
Rp210K – Rp330K
$42 – $65
$50 – $75
Lead/ML Architect (8+ years)
Rp330K – Rp510K
$65 – $95
$75 – $110
Data Scientist Salary by Indonesia Tech Hubs
Jakarta
Rp12M – Rp75M/month
Jakarta offers the highest data science salaries in Indonesia. Major tech companies and financial institutions compete for top talent. The city hosts 65 percent of all data science positions nationwide.
Bandung
Rp9M – Rp50M/month
Bandung provides strong opportunities at 15 to 20 percent below Jakarta rates. The city has a growing startup ecosystem and universities producing data science graduates. Lower living costs offset the salary difference.
Surabaya
Rp8M – Rp48M/month
Surabaya’s manufacturing and logistics sectors drive data science demand. Salaries run 20 to 25 percent below Jakarta levels. E-commerce and fintech companies expand operations in this eastern hub.
Remote/International
$1,500 – $7,500/month
Indonesian data scientists working for international clients earn USD-based compensation. Remote positions offer 50 to 80 percent more than local Indonesian salaries. Time zone overlap with Asia-Pacific markets increases opportunities.
Key Market Insights for Data Scientists in Indonesia
Skill Premium for Deep Learning: Data scientists with TensorFlow and PyTorch expertise earn 25 to 35 percent more. Computer vision and NLP specialists command the highest premiums. Most companies struggle to find qualified deep learning practitioners.
Cloud Platform Expertise: Experience with AWS SageMaker, Google Cloud AI, or Azure ML adds 20 to 30 percent to base rates. Companies migrate analytics workloads to cloud infrastructure rapidly. Multi-cloud experience increases marketability significantly.
Industry Specialization Value: Finance and healthcare data scientists earn 15 to 25 percent more than general practitioners. Domain knowledge in banking regulations or medical data compliance drives premium pay. E-commerce and logistics sectors also pay competitive rates.
Education and Certification Impact: Master’s degrees in data science or statistics add 10 to 15 percent to salaries. International certifications like Google Professional Data Engineer increase rates by 8 to 12 percent. Local universities produce growing numbers of qualified graduates.
Programming Language Demand: Python remains the primary requirement for 95 percent of positions. R skills add value for statistical modeling roles in research and pharmaceuticals. Scala knowledge benefits big data processing positions with Spark.
Experience with Production Systems: Data scientists who deploy models to production earn 20 to 30 percent more. MLOps skills including Docker, Kubernetes, and CI/CD pipelines command premium rates. Most companies need help moving models from notebooks to production.
Startup vs Corporate Compensation: Established companies pay 15 to 25 percent more in base salary than startups. Startups offer equity compensation that may provide long-term value. International corporations provide the highest total compensation packages.
Contract vs Permanent Roles: Contract data scientists earn 30 to 40 percent higher hourly rates than permanent staff. Project-based work offers flexibility but lacks benefits and job security. Most senior practitioners prefer permanent positions with established companies.
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