Because Tecnoempleo only shows salary information in 19.3% of offers, TinderJob supplements the Spanish market data with the DS Salaries dataset — 607 records of global data science compensation, converted to EUR at a fixed rate of USD × 0.92. This dataset serves as the primary salary reference for DataTalent Solutions S.L.’s guidance materials. These figures are global benchmarks, not Spanish market guarantees, and must always be communicated with that explicit caveat. The section on Spain-specific limitations and the warning block below provide the context needed to use these numbers responsibly.Documentation Index
Fetch the complete documentation index at: https://mintlify.com/HelenDiMo/TinderJob/llms.txt
Use this file to discover all available pages before exploring further.
Key Salary Statistics
The global DS Salaries distribution is right-skewed: a relatively small number of very high-earners at Director and Executive level pull the mean significantly above the median. This makes the median the correct central tendency measure for all candidate-facing communications.| Metric | Value |
|---|---|
| Total records | 607 |
| Global median salary | €93,444/year |
| Global mean salary | €103,314/year |
| Mean > Median by | ~€9,870 (10.6% skew) |
| Distribution type | Right-skewed (non-normal, Shapiro-Wilk p<0.05) |
Always use the median salary (€93,444) in candidate-facing materials and DataTalent program marketing. The mean (€103,314) is inflated by high-level outliers and misrepresents what a typical candidate can expect to earn.
Salary by Experience Level
Experience level is the single strongest predictor of salary in this dataset — outweighing company size, remote work ratio, and year of employment. The jump from mid-level to senior is particularly dramatic and represents the highest-ROI transition in a data professional’s career.| Level | Median Salary |
|---|---|
| Entry-level (Junior) | €51,980/year |
| Mid-level (Semi-senior) | ~€82,000/year |
| Senior | €124,660/year |
| Executive / Director | Highest (above Senior) |
Salary by Company Size
Company size interacts with experience level in meaningful ways. Small companies offer competitive junior salaries — often comparable to larger firms — but the ceiling for senior compensation is generally higher at medium and large organizations.| Company Size | Junior Median | Senior Median |
|---|---|---|
| Small (<50 employees) | €55,200 | High variance |
| Medium (50–250 employees) | Moderate | Good |
| Large (>250 employees) | Moderate | Highest |
- Small companies pay comparably well for junior roles — in some cases slightly above large-company junior medians — making them viable placement targets for program graduates entering the market.
- Large companies consistently pay the most at Senior and Executive levels, benefiting from structured compensation bands and larger budget allocation.
- Career guidance for DataTalent candidates: junior candidates should consider both small (<50) and large (>250) organizations for best starting compensation; senior candidates should target medium or large companies where the salary ceiling is highest and career ladders are more formalized.
Remote Work vs. Salary Correlation
One of the most practically important findings in the dataset is the near-zero correlation between remote work ratio and salary:- Correlation coefficient: 0.13 (very weak positive)
- Salary is not significantly correlated with remote work ratio
- Experience level is the dominant salary predictor, not location flexibility or work modality
Salary Evolution 2020–2022
The DS Salaries dataset spans employment years 2020 through 2022, allowing a limited longitudinal view of compensation trends. The directional findings are:- Positive salary trend across all experience levels during this period, with data science compensation rising year-over-year
- Experience level remains more determinant than year of employment — a senior hired in 2020 earned more than a junior hired in 2022 in the same company type
- Investing in reskilling now has more long-term salary impact than waiting — the salary gains from moving up one experience level exceed the gains from simply staying employed longer at the same level
Probability of Earning Above Median
Conditional probability analysis on the dataset reveals a stark contrast in salary outcomes by experience level relative to the global median:| Experience Level | P(salary > €93,444) |
|---|---|
| Junior | 11.4% |
| Senior | 73.2% |
All salaries are converted from USD to EUR using a fixed rate of 0.92. Actual purchasing power varies significantly between countries — a €93,444 benchmark represents a different living standard in San Francisco than in Madrid.