Role overview
Data scientists analyze complex data to help organizations make better decisions.
Annual Salary β 2025
Junior Level
$30,480 - $40,640
Experience: 0-2 years
Middle Level
$40,640 - $60,960
Experience: 3-5 years
Senior Level
$60,960 - $91,440
Experience: 6+ years
Estimated Take-Home Pay
Expected monthly income after standard tax deductions (approx. 25%)
$3,175
Hourly Rate
$20.76 - $28.09 per hour
Based on 40-hour work week, rates may vary by region and company
Healthcare
Comprehensive medical, dental and vision insurance coverage for you and your family
Approx. $3,556 per year
Annual Bonus Range
Typical performance-based annual bonus range
$5,080 - $7,620
Equity Bonus
Company equity compensation based on local market standards and company policy
Up to $5,080
Total Housing Budget
Recommended monthly spending on rent/mortgage and utilities
Up to $800
Retirement Savings Target
Recommended monthly retirement account contribution
$600
Recommended Emergency Fund
Financial safety net for unexpected expenses and life events
$12,700 - 25,400
Monthly Savings Targets
Recommended amount to set aside each month for your financial security and future goals
Approx. $1,300
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Education Requirements
Master's or Ph.D. in Data Science, Statistics, or related field
Professional Certifications
Training & Development
- Regular code reviews and feedback sessions
- Cross-functional training opportunities
- Industry conference participation support
Required Skills
Core Skills
Trending Skills
Emerging Skills
Specifics
Work Environment
Tools
Collaboration
Time Zones
Benefits
Common Benefits
Additional Benefits
Market Trends
Demand
Moderate to High
Growth Rate
18% annual growth
Remote Work
Availability: Growing
Trend: Transition to distributed team structures with emphasis on cross-timezone collaboration and cultural awareness
Job Platforms
Key Industries
Similar Positions
Other positions similar to Data Scientist:
Cross-Country Pay Scale
Explore Data Scientist salaries worldwide. Below you'll find a comparison of average annual compensation in different countries relative to the base rate in Myanmar ($50,800).
Costa Rica
Egypt
Peru
Austria
Norway
Saudi Arabia
Argentina
Morocco
Hong Kong
KuwaitFrequently Asked Questions
What is the average Data Scientist salary in Myanmar?
The average salary for a Data Scientist in Myanmar is $50,800 per year. Entry-level positions (Junior Level) start at $30,480 - $40,640, while experienced professionals (Senior Level) can earn up to $60,960 - $91,440.
What skills are required for a Data Scientist role?
Core skills include Python, R, SQL, Statistics, Machine Learning, TensorFlow, PyTorch. Trending skills are Deep Learning, NLP, Computer Vision, MLOps, Big Data, Data Visualization, while emerging skills focus on AutoML, Quantum ML, Edge AI, Federated Learning.
What is the job market outlook for Data Scientists?
The job market shows high demand with 15% annual growth. Remote work opportunities are increasing, with high availability across various job platforms. Key industries include Robotics, Quantum Computing, Cloud Computing, Automotive Tech, Telecommunications.
What benefits are typically offered to Data Scientists in Myanmar?
Common benefits include Health Insurance, Paid Time Off, Remote Work Options, Professional Development. Additional benefits may include Stock Options, Performance Bonuses, Health and Wellness Programs, Home Office Setup.
What roles are similar to Data Scientist?
Similar positions to Data Scientist include Machine Learning Engineer, AI Specialist, Data Analyst, Research Scientist. These roles share many of the same responsibilities and required skills, though their focus areas may vary slightly by organization.
What is the hourly rate for Data Scientists in Myanmar?
Based on a standard 40-hour work week, Data Scientists in Myanmar typically earn between $20.76 and $28.09 per hour per hour. Rates may vary depending on location, experience level, and specific employer.
What are the core and trending skills for Data Scientists?
Core skills essential for Data Scientists include Python, R, SQL, Statistics, Machine Learning, TensorFlow, PyTorch. The most in-demand trending skills currently are Deep Learning, NLP, Computer Vision, MLOps, Big Data, Data Visualization. Professionals looking to stay competitive should also keep an eye on emerging skills like AutoML, Quantum ML, Edge AI, Federated Learning.
About Salary Data
Our salary data is compiled from trusted sources including:
- U.S. Bureau of Labor Statistics - Official employment statistics
- Eurostat - European Union labor market data
- ILOSTAT - The leading source of labour statistics
- Glassdoor - Company salary reports
- Levels.fyi - Tech industry compensation data
- Indeed - Job market analysis
Additional market insights from:
Note: Salary ranges are approximate and may vary based on location, experience, skills, and other factors. Data is regularly updated to reflect current market conditions.
