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Data Scientist · 2026

Data Scientist Jobs
by City

3,544 open Data Scientist positions across 20 cities worldwide. Median salary $128,300. 1,174 posted in the last 7 days.

🔥 3,544 open positions 💰 $128,300 median 🌎 20 cities hiring 🏠 12% remote friendly ⚡ 1,174 new this week 🏢 20+ companies hiring
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Salary analysis

💰 Salary analysis

Salary data based on 1,401 positions with reported compensation (40% of all Data Scientist listings).

10th percentile
$87,200
25th percentile
$103,330
Median (50th)
$128,300
75th percentile
$164,924
90th percentile
$210,200

Average salary: $138,992

In-demand skills

🎯 In-Demand skills

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

Machine Learning
Python
SQL
AWS
Spark
Deep Learning
TensorFlow
PyTorch
Data Analysis
Agile
Azure
GCP
NLP
Tableau
CI/CD
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)
singapore 1,118 SGD 80,000 SGD 70,000 – SGD 90,000 2% 15 432
London 267 £80,000 £70,000 – £120,000 6% 15 40
dubai 207 AED 223,200 AED 120,000 – AED 293,793 4% 15 194
Paris 180 €55,000 €46,250 – €55,000 1% 15 26
New York, NY 79 $130,200 $115,000 – $150,000 1% 15 8
abu dhabi 54 AED 221,772 AED 150,000 – AED 279,000 15 52
Berlin 47 €75,000 €67,000 – €82,500 2% 15 11
San Francisco, CA 42 $201,000 $148,000 – $255,000 13 13
München 39 €95,000 €95,000 – €95,000 15 4
Hamburg 28 €74,000 €72,000 – €77,000 11% 15 5
, , united arab emirates 27 AED 160,000 AED 120,000 – AED 250,000 11% 15 25
Lyon 22 €45,000 €41,500 – €46,000 8 8
India 21 $128,300 $103,330 – $164,924 2 3
United Kingdom 21 $90,000 $90,000 – $90,000 9 2
McLean, VA 19 $180,000 $180,000 – $180,000 4 4
Washington DC 19 $125,000 $98,000 – $134,801 12 2
Chicago, IL 19 $90,000 $90,000 – $90,000 21% 7 0
United States 18 $120,000 $120,000 – $145,500 17% 11 0
Frankfurt am Main 16 $128,300 $103,330 – $164,924 15 3
Bordeaux 15 €20,000 €20,000 – €20,000 33% 7 0
Top employers

🏢 Top employers

15 companies with the most Data Scientist openings globally.

Dormont Manufacturing Co 57 jobs
GoTo Group 53 jobs
Micron Technology, Inc 46 jobs
Gotogroup 40 jobs
1100 Micron SemiAsiaOP Pte Ltd 31 jobs
Micron Technology 30 jobs
Collective.work 30 jobs
Airwallex 22 jobs
Mastercard 22 jobs
Grab 20 jobs
Experimentation Jobs 19 jobs
Quant Capital 19 jobs
Geographic distribution

🌐 Where Data Scientists work

Singapore  1,133 jobs United States  1,038 jobs United Kingdom  420 jobs France  397 jobs UAE  283 jobs Germany  270 jobs Saudi Arabia  3 jobs

Data Scientist Job Market Overview (2026)

The Data Scientist job market is steadily growing, with 3,544 open positions tracked across 20 cities worldwide. In the past 30 days alone, 2,522 new positions were posted (1,174 in the last week), indicating strong and consistent demand from employers.

Compensation Landscape

The median salary for Data Scientist positions is $128,300, with the middle 50% of earners making between $103,330 and $164,924. Top earners (90th percentile) command $210,200 or more. Note that 60% of listings do not disclose salary, so actual compensation may differ in some markets. The highest-paying city is dubai at AED 223,200 median, while Bordeaux offers €20,000.

Remote Work Availability

12% of Data Scientist positions offer remote or hybrid work arrangements (434 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, AWS, Spark, and Deep Learning. 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 3,544 positions and get matched based on your experience, preferred location, and salary expectations.

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