Data Scientist Salary in Spain during 2023
💰 The median Data Scientist Salary in Spain during 2023 is USD 48,585
✏️ This salary info is based on 38 individual salaries reported during 2023
Salary details
The average Data Scientist salary lies between USD 38,868 and USD 48,585 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
- 2023
- Sample size
- 38
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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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 Statistics. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:
Python | 4066 jobs Machine Learning | 3600 jobs Statistics | 3281 jobs SQL | 3082 jobs Engineering | 2829 jobs Computer Science | 2162 jobs R | 2101 jobs Mathematics | 1963 jobs Research | 1870 jobs ML models | 1341 jobs Data analysis | 1121 jobs Testing | 1103 jobs Tableau | 985 jobs Spark | 982 jobs AWS | 965 jobs Big Data | 908 jobs Deep Learning | 897 jobs PhD | 837 jobs NLP | 824 jobs Pipelines | 809 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 2023 and the number of open jobs that where offering them during that period:
Career development | 3338 jobs Health care | 1592 jobs Startup environment | 1209 jobs Flex hours | 1202 jobs Equity / stock options | 1081 jobs Competitive pay | 1078 jobs Team events | 992 jobs Flex vacation | 924 jobs Insurance | 808 jobs Parental leave | 779 jobs Salary bonus | 767 jobs Medical leave | 566 jobs Wellness | 468 jobs 401(k) matching | 466 jobs Home office stipend | 326 jobs Unlimited paid time off | 308 jobs Conferences | 254 jobs Fitness / gym | 191 jobs Gear | 140 jobs Relocation support | 138 jobsSalary Composition
In Spain, the salary composition for a Data Scientist can vary significantly depending on the region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. This base salary can be supplemented by performance-based bonuses, which are more common in larger companies or those in competitive industries like finance or tech. Additionally, some companies may offer stock options or equity, especially in startups or tech firms, as a form of long-term incentive. Benefits such as health insurance, retirement plans, and professional development allowances can also be part of the overall remuneration package, though these are more prevalent in larger organizations.
Increasing Salary
To increase your salary from the current position, consider the following steps:
- Skill Enhancement: Continuously update and expand your skill set, particularly in high-demand areas like deep learning, natural language processing, or big data technologies.
- Advanced Education: Pursuing a master's degree or Ph.D. in a relevant field can significantly boost your earning potential.
- Networking: Engage with professional networks and communities to learn about new opportunities and trends in the industry.
- Industry Switch: Transitioning to a higher-paying industry, such as finance or tech, can lead to a substantial salary increase.
- Leadership Roles: Aim for roles with more responsibility, such as team lead or project manager, which often come with higher pay.
Educational Requirements
Most Data Scientist positions require at least a bachelor's degree in a relevant field such as computer science, statistics, mathematics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex data analysis or research. These advanced degrees provide a deeper understanding of machine learning algorithms, statistical methods, and data modeling techniques, which are crucial for the role.
Helpful Certificates
While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise to potential employers. Some valuable certifications include:
- Certified Data Scientist (CDS)
- Microsoft Certified: Azure Data Scientist Associate
- Google Professional Data Engineer
- IBM Data Science Professional Certificate
- AWS Certified Machine Learning – Specialty
These certifications can validate your skills in specific tools and platforms, making you more attractive to employers.
Experience Requirements
Typically, entry-level Data Scientist roles require at least 1-2 years of experience in a related field, such as data analysis or software development. For more senior positions, 3-5 years of experience is often expected. Experience with specific tools and technologies, such as Python, R, SQL, and machine learning frameworks, is highly valued. Additionally, experience in a particular industry can be advantageous, as it provides domain-specific insights that can enhance data-driven decision-making.
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