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Data Scientist · 2026

Data Scientist Jobs
by City

7,311 open Data Scientist positions across 20 cities worldwide. Median salary SGD 100,000. 4,864 posted in the last 7 days.

🔥 7,311 open positions 💰 SGD 100,000 median 🌎 20 cities hiring 🏠 13% remote friendly ⚡ 4,864 new this week 🏢 20+ companies hiring
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Salary analysis

💰 Salary analysis

Salary data based on 997 positions with reported compensation (14% of all Data Scientist listings).

10th percentile
SGD 80,000
25th percentile
SGD 80,000
Median (50th)
SGD 100,000
75th percentile
SGD 100,000
90th percentile
SGD 100,000

Average salary: SGD 93,311

In-demand skills

🎯 In-Demand skills

Most frequently requested skills in Data Scientist job descriptions, ranked by mention frequency.

Machine Learning
Python
SQL
Azure
Data Analysis
AWS
Deep Learning
TensorFlow
PyTorch
Data Visualization
Spark
Power BI
NLP
Tableau
GCP
By city

🌎 Salary & Jobs by city

Compare Data Scientist opportunities across 20 cities. Click any city for detailed market analysis.

City Jobs ▼ Median Salary Salary Range Remote % Companies New (7d)
Bengaluru 778 $100,000 $80,000 – $100,000 3% 15 468
singapore 531 SGD 100,000 SGD 80,000 – SGD 100,000 2% 15 475
Mumbai 342 $100,000 $80,000 – $100,000 5% 15 304
dubai 313 AED 200,000 AED 120,000 – AED 300,000 5% 15 224
Hyderabad 173 $100,000 $80,000 – $100,000 7% 15 100
Chennai 127 $100,000 $80,000 – $100,000 13% 15 94
Pune 125 $100,000 $80,000 – $100,000 11% 15 79
Gurugram 122 $100,000 $80,000 – $100,000 11% 15 107
New Delhi 104 $100,000 $80,000 – $100,000 12% 10 76
abu dhabi 97 AED 200,000 AED 200,000 – AED 300,000 2% 15 70
New York, NY 65 $128,824 $115,500 – $137,500 8% 15 4
Navi Mumbai 52 $100,000 $80,000 – $100,000 8% 10 37
Berlin 51 €67,000 €63,000 – €71,000 2% 15 14
Ahmedabad 48 $100,000 $80,000 – $100,000 15% 10 38
Bangalore Urban 41 $100,000 $80,000 – $100,000 5% 15 33
Kolkata 41 $100,000 $80,000 – $100,000 27% 8 29
Noida 39 $100,000 $80,000 – $100,000 21% 10 33
Vadodara 39 $100,000 $80,000 – $100,000 18% 8 31
Visakhapatnam 38 $100,000 $80,000 – $100,000 18% 7 27
Guntur 31 $100,000 $80,000 – $100,000 23% 6 23
Top employers

🏢 Top employers

15 companies with the most Data Scientist openings globally.

Turing 156 jobs
Tata Consultancy Services 130 jobs
GreatHR Solutions 79 jobs
RapidBrains 78 jobs
The Digital Loom 76 jobs
Lingaro 63 jobs
Unotech Global 63 jobs
KPI Partners 47 jobs
Albertsons Companies India 37 jobs
Infosys Finacle 32 jobs
Hireginie 23 jobs
Sequoia 23 jobs
Geographic distribution

🌐 Where Data Scientists work

India  5,341 jobs United States  653 jobs Singapore  535 jobs UAE  481 jobs Germany  301 jobs

Data Scientist Job Market Overview (2026)

The Data Scientist job market is steadily growing, with 7,311 open positions tracked across 20 cities worldwide. In the past 30 days alone, 6,738 new positions were posted (4,864 in the last week), indicating strong and consistent demand from employers.

Compensation Landscape

The median salary for Data Scientist positions is SGD 100,000, with the middle 50% of earners making between SGD 80,000 and SGD 100,000. Top earners (90th percentile) command SGD 100,000 or more. Note that 86% of listings do not disclose salary, so actual compensation may differ in some markets. The highest-paying city is dubai at AED 200,000 median, while Berlin offers €67,000.

Remote Work Availability

13% of Data Scientist positions offer remote or hybrid work arrangements (972 listings). While the majority of positions remain on-site, remote options are increasingly available.

Skills That Get You Hired

Based on analysis of job descriptions, the most in-demand skills for Data Scientist roles are Machine Learning, Python, SQL, Azure, Data Analysis, and AWS. Including these keywords in your resume and cover letter can significantly improve your ATS match rate and interview chances.

How to Apply

Start by reviewing our Data Scientist resume example to see what top candidates include. Pair it with a strong cover letter tailored to your target company. Then use JobsChat AI to search all 7,311 positions and get matched based on your experience, preferred location, and salary expectations.

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