Senior Manager, Data Science

• *Job Title**

Senior Manager, Data Science

• *Role Overview**

Lead and guide a team responsible for designing and delivering innovative business intelligence (BI) and data\-driven solutions that meet current and future business needs. This position combines functional knowledge with technical expertise to develop robust analytics and machine learning applications.

• *Key Responsibilities**
• -----------------------

• Lead the architecture, design, and development of scalable data\-driven solutions for analytics and machine learning.
• Deliver high\-quality data science models aligned with defined performance and quality standards.
• Drive process improvements and enhance methodologies within the data science function.
• Collaborate with stakeholders across different functions to maintain transparency and alignment.
• Coordinate with global teams, providing project updates and proactively identifying potential risks.
• Oversee delivery of critical data science projects, ensuring timeliness and quality.
• Serve as the main point of contact for data\-related initiatives, ensuring business requirements are met.
• Guide, mentor, and develop team members, fostering an inclusive and growth\-oriented environment.
• Partner with Product Management and Business teams to define priorities and create impactful data solutions.

• *Ideal Candidate**
• ------------------

• Typically 10\+ years of relevant professional experience in data science or analytics, with background in leadership roles.
• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or an equivalent field.
• Expertise in data\-driven architecture, design, and implementation of scalable solutions for enterprise applications.
• Proficiency in Python, R, SQL, and familiarity with cloud\-based analytics (AWS, Azure, GCP).
• Experience with data visualization tools (Tableau, Power BI) and libraries such as pandas, NumPy, scikit\-learn.
• Knowledge of data modeling, ETL, data warehousing, and big data technologies.
• Familiarity with agile and waterfall methodologies in the product development lifecycle.
• Understanding of emerging trends in AI/ML, cloud solutions, and data engineering platforms like Databricks or Azure ML.

• *What we can offer you**
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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 hybrid working model \- We want our employees to do their best work, however the hybrid model 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\-KA1

• *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 characteristics protected by law.

• *Be aware of recruitment scams**

Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. Any payment request or outreach via unofficial platforms (e.g., WhatsApp, Telegram) should be treated as fraudulent.