Senior Data Scientist - Offer Optimization, Nevio, Hertz, Dynamic Pricing

Job Title

Senior Data Scientist - Offer Optimization, Nevio, Hertz, Dynamic PricingBusiness Environment

Airline Solutions encompasses both our market-leading PSS Altéa and Amadeus Nevio; our fully flexible, cloud-native, open technology stack for the end-to-end transformation of full-service carriers and hybrid airlines. We are not only the most experienced and reliable player in the market, we also have shown ourselves to be a constant innovator, being first-to-market with an entirely new generation of airline technology that can really deliver the retailing promises airlines make, throughout the traveler journey, at every touchpoint.

Within this organization, the primary mission of the Offer Price and Optimization engineering teams is to optimize airline revenues by selling the right products at the right prices. Our overarching goal is to lead the industry towards modern retailing, characterized by dynamic, customer-centric, and optimized offers.

The team
 

The mission of our Price Optimization Model team is to design and develop advanced AI-driven models, which are at the heart of our Dynamic Pricing products. The team also assists airlines with increasing their sales conversion and revenues while maintaining customer satisfaction and loyalty. Additionally, with the recent signing of Hertz DaVinci project, the team will innovate and demonstrate its dynamic pricing excellence in the car rental industry.

Its main objectives are:

• Improve the performance of our existing models and products, while shaping the future of the models

• Industrialize and simplify our solutions (automatic calibration, reporting, revenue monitoring, simulation)

• Increase coverage of our solutions to enable massive deployment

• Harmonize science and models across Offer Optimization products

• Lead the department topics around Data Science, Machine Learning and Artificial Intelligence

• Foster adoption of cutting-edge technologies, advanced data science practices and MLOps mindset across the organization

Why joining us?

• Dynamic, intercultural and international team

• Great team spirit with people coming from various experiences and skills

• Opportunity to innovate and create new models and solutions by exploring the latest market trends

• Evolve within the trendy and latest cloud, Machine Learning and Artificial Intelligence technologies

Your Main Responsibilities

Common accountabilities:

• Has working experience and advanced and specialized technical/functional knowledge in own discipline. Understands how own area contributes to the business. Acts as a reference for colleagues with less experience and supports junior team members.​

• Influences decisions related to own activity, anticipating dependencies and consequences in complex scenarios, contributes to transversal projects, proposes improvements to processes and is accountable for own and team commitments.​

• Works independently within plan dictated by manager, with some guidance on most complex situations. 
   

Specific accountabilities:

• 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

• Collect and manage large data sets to perform complex data analysis

• Implement data analysis algorithms on a large scale working closely with data engineering members  

• Communicate and translate complicated results & their implications to business stakeholders. 

• Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques. 

• Identify data sources, both internal and external to Amadeus, and transform them into actionable insights that support fact-based decision making. 

• Actively participate to a community of practice for data scientists.

What we can offer you ?

• Be rewarded with a competitive remuneration, an individual and company bonus and enjoy many benefits. 

• Work from anywhere: Flexible teleworking from 1 to 3 days per week. You will also benefit from a home office set-up premium & monthly allowance.

• 6 weeks holiday, plus pension contribution and healthcare insurance.  

• Experience in an environment with unique complexity and a hardly matched criticality among the leading tech companies.

• Professional development in a truly international and multisite environment with a great mix of people.    

• A wide set of trainings available to broaden your knowledge and enhance your soft skills including onsite and on-line learning hubs packed of technical and soft skills to help to develop any competencies. 

• Enter a diverse and inclusive workplace.

• Enjoy your office life: Coffee hubs to work or relax, quiet zone, flexible desks and agile areas, on site restaurants, tennis, soccer, yoga, dance, on-site sport center and classes and on-site concierge services.  

How do we hire?

• Online application: Submit your online application and our Talent Acquisition team will get in touch if your skills match the role. 

• Phone Interview: We'll get to know each other with a short casual conversation. You'll also have the chance to ask questions. 

• Online Testing: Depending on the role you applied for, you may have to do some online tests. 

• Interviews: First, you'll meet one of our talent teams. Then you'll have an interview with a member or members of the team you're looking to join. 

• Offer: Our Talent team will make you a job offer and welcome you to your new role with us. 

• Join our global team: Where you can develop your skills and build an international career that matters. 

100% of the people we’ve recruited started by applying. Take a chance!

Diversity & Inclusion

Amadeus is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or a related medical condition), ancestry, national origin, age, genetic information, military or veterans status, sexual orientation, gender expression, perception, or identity, marital status, mental or physical disability status, or any other protected federal, state, or local status unrelated to performance of work involved.

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