Accountabilities

Data Analysis and Modelling: Conduct in-depth analysis of large and complex datasets to extract meaningful insights and identify actionable opportunities for improvement.

Algorithm Development: Design, develop, and deploy cutting-edge predictive models and algorithms that address key challenges and opportunities within the aviation industry.

Optimization and Automation: Continuously refine and optimize machine learning models to improve accuracy, efficiency, and scalability, while also exploring opportunities for automation to streamline processes and reduce manual effort.

Collaboration and Innovation: Collaborate closely with cross-functional teams including software engineers, aviation experts, and business stakeholders to co-create innovative solutions that address real-world challenges and deliver tangible business value.

Research and Development: Stay abreast of the latest advancements in data science, AI, and aviation technology, and proactively explore emerging trends and methodologies to drive continuous innovation and improvement.

Communication and Stakeholder Engagement: Effectively communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear, compelling presentations and reports, and actively engage with stakeholders to gather feedback and ensure alignment with business objectives.

Education & Experience

• Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Data Science, Aviation Engineering, or a related field.
• 5-7 years’ experience working as a Data Scientist or similar role, preferably in aviation or a related field.
• Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., pandas, numpy, scikit-learn).
• Strong understanding of machine learning techniques and algorithms such as regression, classification, clustering, neural networks, etc., with experience applying to real-world problems.
• Strong foundation of operational research (linear programming, resource allocation, network optimization, etc.) to solve complex business and operational problems.
• Proficiency in SQL, any of the Cloud Service Providers (GCP, AWS, Azure), ideally with Databricks
• Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib.
• Knowledge of aviation operations and industry-specific challenges and opportunities is desirable.
• Excellent problem-solving skills, attention to detail, and the ability to work effectively both independently and as part of a team.
• Strong communication and interpersonal skills, with the ability to effectively collaborate with colleagues across various disciplines and levels of the organization.