Data Scientist Specialist

Iberia
Iberia
Madrid, SpainOn-siteCompetitiveMid · 2+ yearsPermanent🇪🇸Spanish: Native

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Requirements

Passion for advanced analytics and data exploitation.
More than 2 years of experience in advanced analytics, data science, or consulting projects.
Experience in designing and developing analytical solutions aimed at solving business problems.
Experience working with large volumes of data and developing innovative analytical approaches.
Ability to operate as an end-to-end Data Scientist,
participating in all phases of the analytical project lifecycle.
Solid programming knowledge and experience in developing quality solutions in Python, Spark, and/or R.
Excellent communication skills to present results to both technical and non-technical profiles.
Advanced mastery of SQL or equivalent technologies for data manipulation and exploitation.
Experience in cloud environments. Knowledge of tools and services such as AWS SageMaker, Fargate, and/or Airflow is highly valued.
Business vision to contextualize data and extract valuable insights.
Strong programming and data manipulation skills using dataframe structures.

Job Description

Our Company

We are Spain's largest airline and a leader between Europe and Latin America; we belong to the IAG air group and are part of the oneworld alliance. Our goal is to always be the best option for travel for our customers, ensuring they feel that our top priorities are their safety and the quality and experience of their journey. In addition to the airline, we have aircraft maintenance as a complementary business.

At Iberia, we value that our professionals serve as role models for customers, but also within the team. We expect all new hires to exemplify these behaviors.

Your Role:

The main function to be performed in the Data Scientist Specialist position will be to collaborate closely with other Data Scientists, Data Engineers, and various business areas to identify, design, and implement advanced analytics solutions that have a direct impact on key performance indicators, improving operational efficiency, reducing costs, optimizing resource management, and supporting data-driven decision-making.

You will be part of Iberia's transformation into a data-driven organization, with high visibility among middle management and executives.

Your Challenges:

  • Main Responsibilities
  • Identify opportunities to apply advanced analytics to operational and business processes.
  • Design analytical solutions in collaboration with senior members of the data team.
  • Develop and implement Machine Learning, Artificial Intelligence, and GenAI models for use cases such as prediction, optimization, anomaly detection, and process automation.
  • Work with large volumes of data using Python and Spark within the AWS ecosystem.
  • Prepare reports and presentations with clear recommendations for both technical and business audiences.
  • Collaborate with multidisciplinary teams to ensure the correct adoption and implementation of developed solutions.
  • Contribute to fostering a data-oriented culture through the use of advanced analytics methodologies and tools.

Your Knowledge:

  • Passion for advanced analytics and data exploitation.
  • More than 2 years of experience in advanced analytics, data science, or consulting projects.
  • Experience in designing and developing analytical solutions aimed at solving business problems.
  • Experience working with large volumes of data and developing innovative analytical approaches
  • Ability to operate as an end-to-end Data Scientist,

participating in all phases of the analytical project lifecycle.

  • Solid programming knowledge and experience in developing quality solutions in Python, Spark, and/or R.
  • Excellent communication skills to present results to both technical and non-technical profiles.
  • Advanced mastery of SQL or equivalent technologies for data manipulation and exploitation.
  • Experience in cloud environments. Knowledge of tools and services such as AWS SageMaker, Fargate, and/or Airflow is highly valued.
  • Business vision to contextualize data and extract valuable insights.
  • Strong programming and data manipulation skills using dataframe structures.

Your Skills

  • Creative and empathetic approach to problem-solving.
  • Ability to synthesize complex concepts and communicate them simply to business audiences.
  • Great attention to detail and ability to adapt to dynamic environments and changing business, operations, and technology priorities.
  • Ability to collaborate effectively with multidisciplinary teams, providing support, advice, and best practices during project implementation.
  • Results-oriented, autonomous, and proactive in identifying and solving problems.

Talent at Iberia:

We value that our professionals serve as role models for customers, but also within the team. We expect all new hires to exemplify these behaviors.

  • We are one and diverse: You work in a coordinated, open, and collaborative manner pursuing a common goal in a diverse and inclusive environment.
  • We put soul and passion: You make things happen by fully engaging in everything you do.
  • We reinvent tomorrow: You seek new and different ideas to solve problems.
  • We connect with our customers and colleagues: You always want to go one step beyond expectations with a smile and a pleasant attitude.
  • We keep it simple and efficient: We focus on what is important, analyzing situations and eliminating what does not add value.
  • We have safety in our DNA: We work with the same attention and care as day one: in every ground operation, in every flight. We know the processes and apply them rigorously.

Our Commitment to Diversity and Inclusion

At Iberia, we are one and diverse. We are a true reflection of current society and have teams with very diverse profiles that enrich us to be more creative and innovative.

We believe in talent without labels and are fully committed to offering equal professional opportunities to all people. Therefore, all decisions in our selection processes are based exclusively on the competencies, skills, and knowledge necessary for the performance of the role.

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