Data Scientist Analytics and ML

AtSITA we keep airports moving airlines flying smoothly and borders open. Our technology and communication innovations power the success of the global air travel industry.

Youllfind us in 95% of international airports working closely with over 2500 transportation and government clients. Each partnership brings unique challenges and we thrive on delivering fresh solutions andcutting-edgetech to keep operations running like clockwork. Wedontjust move the world forwardwereproud to be recognized as aGreat Place to Workby 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.

As Data Scientist Machine Learning and Analytics you will make the operational data ofOCCAssistant 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 byOCCAssistant Manager.

You will analyze operational database changes such as delaysaircraftswaps crew swaps and operational activities build trusted analytical models measureOCCAssistant Managerusage and solution quality and create business cases that show airline savings.

Reporting to the Head of Disruption Management Solutions (OCCAssistant Manager) you will be part of theOCCAssistant Managerteam.

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 Managerwas used and whether OCC Assistant Managerproposed good solutions

Create customer-facing reports dashboards and business cases that quantify OCCAssistant Managervalue 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 Managerconfiguration with exploratory analysis and data-driven insight

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 airlineOCC workflows crew-control concepts and the OCC Assistant Manager data model

Experience with airline operations Ops Control Crew ControlOCCKPIs or disruption management