Job Title

Associate Data Scientist

Business Environment

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.

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.
• Develop applications or pipelines for data projects.
• 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.
• 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.
• 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.
• 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.

What we can offer you

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

We are an Equal Opportunity Employer and seek to hire the best candidate regardless of age, beliefs, disability, ethnicity, gender or sexual orientation.

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