Data Scientist Salary in Spain during 2022
💰 The median Data Scientist Salary in Spain during 2022 is USD 37,824
✏️ This salary info is based on 17 individual salaries reported during 2022
Salary details
The average Data Scientist salary lies between USD 37,824 and USD 47,280 in Spain. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.
- Job title
- Data Scientist
- Experience
- all levels
- Region
- Spain
- Salary year
- 2022
- Sample size
- 17
- Top 10%
-
- Top 25%
-
- Median
-
- Bottom 25%
-
- Bottom 10%
-
Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Salary trend
Top 20 Job Tags for Data Scientist roles
The three most common job tag items assiciated with Data Scientist job listings are Python, Machine Learning and SQL. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:
Python | 2740 jobs Machine Learning | 2364 jobs SQL | 2008 jobs Statistics | 1994 jobs Engineering | 1885 jobs R | 1484 jobs Computer Science | 1477 jobs Research | 1436 jobs Mathematics | 1182 jobs Testing | 908 jobs ML models | 849 jobs PhD | 688 jobs Spark | 659 jobs AWS | 654 jobs Data analysis | 620 jobs NLP | 611 jobs Pipelines | 611 jobs Tableau | 604 jobs Economics | 589 jobs Deep Learning | 549 jobsTop 20 Job Perks/Benefits for Data Scientist roles
The three most common job benefits and perks assiciated with Data Scientist job listings are Career development, Health care and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:
Career development | 2225 jobs Health care | 997 jobs Startup environment | 867 jobs Flex hours | 756 jobs Flex vacation | 660 jobs Team events | 608 jobs Equity / stock options | 566 jobs Parental leave | 519 jobs Competitive pay | 510 jobs Insurance | 474 jobs Salary bonus | 375 jobs Medical leave | 363 jobs Wellness | 349 jobs 401(k) matching | 281 jobs Home office stipend | 259 jobs Conferences | 215 jobs Unlimited paid time off | 170 jobs Fitness / gym | 156 jobs Snacks / Drinks | 96 jobs Gear | 95 jobsSalary Composition
In Spain, the salary composition for a Data Scientist can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. In larger cities like Madrid or Barcelona, the base salary might be higher due to the increased cost of living. Bonuses are often performance-based and can vary widely; they might be more prevalent in industries like finance or tech, where performance metrics are more easily quantifiable. Additional remuneration can include stock options, especially in startups or tech companies, as well as benefits like health insurance, retirement plans, and professional development allowances. Larger companies might offer more comprehensive benefits packages compared to smaller firms.
Steps to Increase Salary
To increase your salary as a Data Scientist, consider the following strategies:
- Skill Enhancement: Continuously update your skills, especially in emerging technologies and tools like deep learning, natural language processing, or cloud computing.
- Advanced Education: Pursuing a master's degree or Ph.D. in a relevant field can make you more competitive and open up higher-paying opportunities.
- Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
- Specialization: Consider specializing in a niche area of data science, such as AI ethics, data engineering, or machine learning operations (MLOps), which can command higher salaries.
- Leadership Roles: Aim for leadership or managerial positions, which typically offer higher compensation.
Educational Requirements
Most Data Scientist positions require at least a bachelor's degree in a related field such as computer science, statistics, mathematics, or engineering. However, many employers prefer candidates with a master's degree or even a Ph.D., especially for roles that involve complex data analysis or research. A strong foundation in statistics and programming is essential, and coursework in machine learning, data mining, and big data technologies is highly beneficial.
Helpful Certifications
While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:
- Certified Analytics Professional (CAP)
- Google Professional Data Engineer
- Microsoft Certified: Azure Data Scientist Associate
- AWS Certified Machine Learning – Specialty
- IBM Data Science Professional Certificate
These certifications can validate your skills and knowledge, making you more attractive to potential employers.
Experience Requirements
Typically, entry-level Data Scientist roles require 1-3 years of experience in a related field, such as data analysis, software development, or business intelligence. For more senior positions, 5-7 years of experience is often expected, with a proven track record of handling complex data projects and delivering actionable insights. Experience with specific tools and technologies, such as Python, R, SQL, and machine learning frameworks, is usually required.
Related salaries
Want to contribute?
📝 Submit your salary info
Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.
Go to salary survey📢 Share our salary survey
Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.
💾 Download the data
All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.
Go to download page🚀 Search for jobs & talent
If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.
Go to frontpageAbout this project
We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.
Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.