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\nBarcelona\n
\n

PERMANENT

\nUpdated 09/03/2026\nJob Description\nJob Summary\nOverview

WELCOME TO SITA

At SITA, we keep airports moving, airlines flying smoothly, and borders open. Our technology and communication innovations power the success of the global air travel industry. You'll find us in 95 of international airports, working closely with over 2,500 transportation and government clients. Each partnership brings unique challenges, and we thrive on delivering fresh solutions and cutting-edge tech to keep operations running like clockwork. We don't just move the world forward—we're proud to be recognized as a Great Place to Work® by 79 of our employees and certified in most of our growing locations. Here, we feel empowered, supported, and inspired to grow. Are you ready to love your job? The adventure begins right here, with you, at

SITA. ABOUT THE ROLE & TEAM

As Data Scientist - Machine Learning and Analytics, you will make the operational data of OCC Assistant Manager — SITAs AI-powered Operations Control Center solution for airline disruption management — speak: automatically reconstructing disruptions from Ops Control and Crew Control data, explaining how airlines resolved them and quantifying the value created by OCC Assistant Manager. You will analyze operational database changes such as delays, aircraft swaps, crew swaps and operational activities, build trusted analytical models, measure OCC Assistant Manager usage and solution quality, and create business cases that show airline savings. Reporting to the Head of Disruption Management Solutions (OCC Assistant Manager), you will be part of the OCC Assistant Manager team.

WHAT YOULL DO

Design and build the databases, data models and processes needed to analyze operational data
Reconstruct operational disruptions automatically from Ops Control and Crew Control database changes
Aggregate events such as aircraft swaps, crew swaps, delays and operational activities into a clear view of what happened during the day
Analyze how the airline resolved each disruption, whether OCC Assistant Manager was used and whether OCC Assistant Manager proposed good solutions
Create customer-facing reports, dashboards and business cases that quantify OCC Assistant Manager value, savings and operational impact
Create internal KPIs, metrics and management reporting to improve the product and understand customer operations
Apply machine learning where it adds value: disruption detection, pattern detection, forecasting, anomaly detection or risk scoring
Support Science, onboarding and automatic OCC Assistant Manager configuration with exploratory analysis and data-driven insight Qualifications

EXPERIENCE

Demonstrated ability to write advanced SQL queries and analyze complex operational database changes over time
Proficiency in Python for data processing, event aggregation and analysis, using pandas, scikit-learn or similar
Ability to define KPIs, value metrics and business cases that connect operational events to customer savings
Proven capability to identify patterns in operational changes and determine when to use machine learning versus simpler analysis
Experience building clear dashboards and analytical products that explain disruptions, resolutions and OCC Assistant Manager value
Ability to validate whether data is correct from an operational and business perspective
Strong communication skills, with the ability to engage effectively with technical, operational and customer-facing stakeholders
A curious, rigorous mindset, comfortable with messy real-world operational data
Motivation to learn airline OCC workflows, crew-control concepts and the OCC Assistant Manager data model

NICE-TO-HAVE

Experience with airline operations, Ops Control, Crew Control, OCC KPIs or disruption management

WHAT WE OFFER

Were all about diversity. We operate in 200 countries and speak 60 different languages and cultures. Were really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what its like to join our team and take a step closer to your best life ever. 🏡

Flex Week:

Work from home up to 2 days/week (depending on your teams needs) ⏰

Flex Day:

Make your workday suit your life and plans. 🌎

Flex-Location:

Take up to 30 days a year to work from any location in the world. 🌿

Employee Wellbeing:

We have got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalized platform that supports a range of wellbeing needs. 🚀

Professional Development:

Level up your skills with our training platforms, including LinkedIn Learning! 🙌

Competitive Benefits:

Competitive benefits that make sense with both your local market and employment status. SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process.\nJob and company information not to be copied, shared, scraped, or otherwise disseminated without explicit consent of JSfirm, LLC.","type","jobPosting","source","LC","accountId","1964945","organizationName","SITA","applicationUrl","https://www.jsfirm.com/jobs?submitted=1&page=1&job=2012759","Pickerington, OH","isRemote",true,"location",{"_230":231,"_232":233},"createdAt","2026-08-19T15:25:07.373976085Z","updatedAt","2026-09-08T12:51:53.389Z","publishedAt","2026-08-18T00:00:00Z","expiresAt","2026-10-09T00:00Z","status","active","isExpired","isDiscoverable","isSearchable","isSpotlight","isDraft","careerSkills",[158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180],"requiredEducation","na","benefitCategories",[155,156,157],"isEmailRequired","isPhoneRequired","formattedDescription","

Data Scientist - Analytics and ML

SITA

Barcelona

PERMANENT

Updated 09/03/2026

Job Description

Job Summary

Overview

WELCOME TO SITA

SITA. ABOUT THE ROLE & TEAM

WHAT YOULL DO

Design and build the databases, data models and processes needed to analyze operational data
Reconstruct operational disruptions automatically from Ops Control and Crew Control database changes
Aggregate events such as aircraft swaps, crew swaps, delays and operational activities into a clear view of what happened during the day
Analyze how the airline resolved each disruption, whether OCC Assistant Manager was used and whether OCC Assistant Manager proposed good solutions
Create customer-facing reports, dashboards and business cases that quantify OCC Assistant Manager value, savings and operational impact
Create internal KPIs, metrics and management reporting to improve the product and understand customer operations
Apply machine learning where it adds value: disruption detection, pattern detection, forecasting, anomaly detection or risk scoring
Support Science, onboarding and automatic OCC Assistant Manager configuration with exploratory analysis and data-driven insight Qualifications

EXPERIENCE

Demonstrated ability to write advanced SQL queries and analyze complex operational database changes over time
Proficiency in Python for data processing, event aggregation and analysis, using pandas, scikit-learn or similar
Ability to define KPIs, value metrics and business cases that connect operational events to customer savings
Proven capability to identify patterns in operational changes and determine when to use machine learning versus simpler analysis
Experience building clear dashboards and analytical products that explain disruptions, resolutions and OCC Assistant Manager value
Ability to validate whether data is correct from an operational and business perspective
Strong communication skills, with the ability to engage effectively with technical, operational and customer-facing stakeholders
A curious, rigorous mindset, comfortable with messy real-world operational data
Motivation to learn airline OCC workflows, crew-control concepts and the OCC Assistant Manager data model

NICE-TO-HAVE

Experience with airline operations, Ops Control, Crew Control, OCC KPIs or disruption management

WHAT WE OFFER

Flex Week:

Work from home up to 2 days/week (depending on your teams needs) ⏰

Flex Day:

Make your workday suit your life and plans. 🌎

Flex-Location:

Take up to 30 days a year to work from any location in the world. 🌿

Employee Wellbeing:

Professional Development:

Level up your skills with our training platforms, including LinkedIn Learning! 🙌

Competitive Benefits:

Job and company information not to be copied, shared, scraped, or otherwise disseminated without explicit consent of JSfirm, LLC.

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Data Scientist - Analytics and ML