Data Scientist

## Data Scientist Apply remote type:
Hybrid locations:
Valencia (FWK) time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
August 7, 2026 (20 days left to apply) job requisition :
R36171
** Job Title
** Data Scientist Develop and implement Machine Learning/Artificial Intelligence and analytics applications. Design, Manage and optimize cloud infrastructure while ensuring performance, reliability and security.
** As a Data Scientist your responsibilities will be:
*** Transform data into insights to identify & quantify business opportunities. Solve business problems by employing machine learning, artificial intelligence, statistical learning, pattern recognition, or high-performance computing techniques.
* Design, develop, validate, and optimize machine learning models and advanced analytical algorithms to solve complex business problems.
* Develop scalable and efficient data science solutions capable of processing large volumes of data in high-performance or distributed computing environments.
* Apply strong programming skills to implement optimized algorithms and reusable analytical components.
* Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques.
* Communicate and translate complicated results & their implications to business stakeholders.
* Actively participate to a community of practice for data scientists.
** About the ideal candidate:
*** 3–5 years of experience in
** Machine Learning**.
* Strong proficiency in
** Python** (
* Pandas, Num Py, Scikit-learn*) and
** SQL**.
* Hands-on experience with
** Machine Learning techniques**, including
** regression, classification, and time series analysis**.
* Experience with
** AWS
* * and cloud technologies.
* Knowledge of
** MLflow
* * for model lifecycle management.
* Strong analytical and mathematical mindset.
* Proactive, collaborative, and data-driven approach.
** Nice to Have
*** Experience with
** PySpark**.
* Knowledge of
** AWS or Azure
** cloud platforms.
* Experience with
** Git
* * and version control best practices.
* Familiarity with
** MLOps
* * practices and MLflow.
** What we can offer you:
*** A complete rewards offer - Amadeus provides attractive remuneration packages, covering all essential components of a competitive reward offer, including bonus, equity, pension plan, travel, life and healthcare insurance, as well as lunch and transport allowance and other benefits.
* A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
* Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues.
* A caring environment - Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life. We care about our employees and strive to provide a supportive work environment.
* A flexible working model - We want our employees to do their best work, wherever and however it works best for them.
* A diverse and inclusive community - We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization.
* A Reliable Company - Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employees.
* A critical mission and purpose - At Amadeus, you will be powering the future of travel and pursuing a critical mission and extraordinary purpose.**#LI-EMEA
**** Diversity & Inclusion
** Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.

Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other…