Data Science Engineer - Powering Analytics and ML in Search & Shopping Applications

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Amadeus’ purpose is to power better journeys, using the latest technologies to develop solutions for our customers. We sit at the heart of every travel journey journeys that are personalized, rewarding and purposeful.
We are one of the world’s top 10 software companies with a global team of 19,000 professionals of 145 nationalities, working across 190 countries.
The future of travel has never been more exciting! With us, you won’t just be shaping your own career, you will be shaping the way the world moves. Do you want to be a part of it? Great, then join us!

Shaping the future of travel has always been important to us at Amadeus. Today, with technology getting smarter by the minute, that future is more exciting than ever. Amadeus works at the heart of the global travel industry and provides the technology which keeps the travel sector moving - from inspiration and initial search to making a booking, from pricing to ticketing, from managing reservations to managing check-in and departure processes.
Only a few large actors in the travel ecosystem have access to actionable data, and the Amadeus Search, Shopping & Pricing unit has a trove of endless data points that can be exploited for insights and product improvement. The Analytics & Data Mining department works on several complementary mission pillars:
- Build services to enhance, improve and monitor existing Amadeus products & services, mostly in the area of search and shopping. This includes providing insights and parameters in order to improve conversion, performance and accuracy.
- Deliver and maintain customer-facing products and services, such as products of the Travel Intelligence portfolio, providing business insights and key information for decision-making.
- Develop innovative data-driven search solutions in partnership with customers or external players, leveraging state of-the-art big data processing and machine learning technologies.
- Explore existing and new data sources, in order to enrich products and services, and deliver more relevant insights and accurate predictions.

Summary of the role

We are looking for a Data Science Engineer to join our Shopping Data & Models team. You will be tasked with developing and implementing machine learning models, AI tools, analytics applications. You will convert the billions of
data points generated by our search and shopping applications into value for internal and external stakeholders by providing data models, leveraging state-of-art Machine Learning and Artificial Intelligence over Big Data and sharing
expertise and incorporating new techniques.

We expect you to be resourceful, eager to learn new technologies, engage & collaborate with your teammates and cross-functionally through creative & thoughtful contributions, critically assess trade-offs and become a trusted partner
in areas of responsibility. We are looking for someone who is humble, hungry and smart. Knowledge of technologies is always a plus, but never a blocker – we will help you ramp up on any of the technologies that we use – and you will in time support new team members doing that.

Your main responsibilities

• Identify data needs for business and product teams, understand their specific requirements for metrics and analysis, and build efficient and scalable ML models and data pipelines to enable data-driven decisions across Amadeus. Identify
• important questions and answer them with data.
• Design, develop, and own data pipelines and ML models that power internal analytics for product and business teams.
• Apply and generalize statistical and ML models on large datasets.
• Design, analyze, and interpret the results of experiments.
• Drive the collection of new data and the refinement of existing data sources, develop relationships with production engineering teams to manage our data structures as the Shopping products evolve.
• Develop strong subject matter expertise and manage the SLAs for those ML models.
• Quality and Delivery
• Respond to stakeholder needs & issues, prioritize and ensure delivery. Own the process adherence and agility best practices.
• Observe best practices and engineering excellence guidelines - documentation, code analysis, coverage test reports, error handling procedures, and performance monitoring instrumentation for application code.
• In term - Mentor team members in developing technical craftsmanship skills & forming a good Engineering Community.
• Ability to focus on deadlines and deliverables – Estimation, prioritization and system design diligence.
   

About the ideal candidate

Master's or Engineering School Degree in Computer Science or related field.

Functional/Technical skills
Strong proficiency in Data Engineering or Data Science: Python, R, or Scala, Kafka, SQL, Hadoop/Spark/Dataflow.
Operational excellence is important, as well as good knowledge of state-of-art SDLC, git, packaging, deployment.
General Web Application development & delivery experience is a plus: Webservices, JSON, protobuf/Thrift, REST/RPC, API programming, SOA, EDA.
Strong stakeholder management, Agile Process experience in addition to Hands-On Design, Architecture guidance skills, are a plus.
Preferred hands–on experience in designing and developing large scale data systems end to end.
Exposure to Internal and External cloud deployment & architectural models is a plus.
Exposure to BI tools, environments is a plus – Qlik, Tableau, etc.

What we can offer you

• Get rewarded with a competitive remuneration, an individual and company bonus?and enjoy many benefits. 
• Work from anywhere: Flexible teleworking from 1 day per week to full weeks to full remote, you will also benefit from a home office setting-up Premium & monthly allowance.
• 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. 
• 6 weeks holiday, plus pension contribution and healthcare insurance.
• 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 conciergerie services.

We are a global company full of the greatest innovators, delivering breakthrough solutions. We know that they deserve the best rewards, and so do you if you join our team!

To build a career that is meaningful to you, we will follow you on each step of this journey by offering training, international mobility, a wide range of internal opportunities to grow your skills and different types of career paths.

Join our engineering community that counts more than 2500 members in Nice and 4000 worldwide.

We will provide you mentoring, training and continuous development opportunities.

Check out Tavleen’s testimony: “I started as a software developer in Amadeus Nice. In 2013, I was ready for my next opportunity at Miami in the new world of Operations. By 2015 I was now backpacking to take the next challenge: lead a development team of Operational in another location: Munich, Germany. This role got me the opportunity to lead and build high performance agile teams, to improve my capacity in drinking “weissbier” & to speak another language. I did fairly good in all except the last one!” 

How do we hire?

The application process takes no longer than 10 minutes! 

• Online application: Submit your online application and our Talent Acquisition specialist will get back to you 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 might 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. 

 Are you the one we’re looking for? Apply now! 

Not ready? Email us for more information: joinus@amadeus.com

Want to learn more about Amadeus, check out our blogs! 

• Developer blog
• Amadeus blog