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In recent weeks, the Data Science Engineer job market in France has shown fluctuating trends. The total number of Data Science jobs posted peaked at 568 new openings in week 5 but has since decreased, with 257 openings recorded in week 14. In contrast, the broader Data Science job market across Europe continues to thrive, with over 2,260 new positions opened in week 6 alone. Notably, the number of closed jobs in France varied significantly, with a peak of 54 jobs closed in week 7, indicating a competitive landscape for Data Science professionals. Such dynamics underscore the need for strategic recruitment efforts targeted at attracting top talent in France's evolving Data Science sector.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Amadeus | Spain | It Services And It Consulting | null | 9 |
|
Kicklox | France | It Services And It Consulting | 2015 | 7 |
|
CLEEVEN | France | Research | 2015 | 7 |
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 6 |
|
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AEROCONTACT | France | Aviation & Aerospace | 2003 | 5 |
|
Astek | France | It Services And It Consulting | 1988 | 4 |
|
Outlier | United States of America | Software Development | null | 4 |
|
|
Thales | France | Information Technology & Services | 1893 | 4 |
|
|
Descartes Underwriting | France | Insurance | 2019 | 3 |
|
Doctolib | France | Software Development | 2013 | 3 |
The talent market for Data Science Engineers in France presents a competitive landscape, with a notable number of job openings relative to the available talent pool. Currently, France has a higher ratio of job openings to talent pool than countries like Germany and Spain, indicating a tighter market for hiring managers. In comparison, the Netherlands also shows significant demand with a balanced ratio. This suggests that while opportunities abound in the Data Science job market in France, the challenge lies in sourcing skilled candidates. Consequently, hiring managers may need to adapt their recruitment strategies to attract the right talent amidst this increasing demand.
In the Data Science job market in France, the seniority distribution reveals that 42% of positions are at the Mid-Senior level, followed by Associate roles at 27%, and Entry level positions at 25%. This distribution indicates a robust market for experienced Data Science Engineers, suggesting a competitive landscape for hiring managers in the tech sector. Understanding these trends in hiring Senior Data Science Developers can enhance recruitment strategies for CTOs seeking top talent in France's technology landscape.
In the French job market for engineering roles, the dominant employment type is full-time positions, accounting for 91% of job opportunities. Internships represent 8% of the market, while contract roles comprise approximately 1%. This distribution underscores the substantial preference for full-time engagements among employers in France's tech sector.
The time to hire for Data Science positions in France reveals critical insights for hiring managers within the tech sector. A significant portion, totaling 107 candidates, have a time to hire of 30 days, indicating that the majority of recruitment typically aligns with a one-month timeframe. Additionally, 28 candidates were hired within 15 days, suggesting that swift placements are achievable. However, the data also indicates longer hiring periods, with 45 candidates taking 25 days and an additional 29 candidates taking up to 45 days. This variation in hiring timelines emphasizes the necessity for strategic recruitment planning as demand for Data Science Engineers continues to evolve.
The Data Science job market in the Netherlands indicates a total of 40 new job postings within a week, with a competitive landscape reflected in the closure of up to 39 positions in a single week.
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The talent pool for Data Science Engineers in Estonia is relatively constrained, making the hiring landscape competitive despite a substantial number of job openings.
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The Data Science job market in Lithuania exhibits significant competition, with a talent pool of 800 professionals against 200 job openings, resulting in a jobs-to-talent pool ratio of 4.0.
View ReportIn the current landscape of Data Science Engineers job market trends in France, Paris dominates the scene with 63% of total job openings, significantly outpacing other cities. Nice follows with 10%, while Valbonne accounts for 6% of the available positions. This distribution highlights Paris as the primary hub for Data Science job opportunities, as illustrated in the accompanying chart.
In the Data Science job market in France, several technologies are pivotal for both candidates and hiring managers. Notably, Python emerges as the most utilized language, appearing in a staggering 13,712 job postings, underscoring its importance in Data Science roles. Close behind is R, renowned for its statistical capabilities, which remains in high demand. Other significant technologies include SQL, a critical skill for data manipulation, featured in 4,796 positions, and Machine Learning frameworks, crucial for developing predictive models, present in 4,835 listings. The attached chart illustrates these data points, highlighting the technologies that are essential in Recruitment strategies for CTOs in France's tech sector.
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