Data Scientist at Etihad Airways Australia

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Analysis, Machine Learning, Data Analysis, Predictive Modeling, Python, R, Java, Data Manipulation, Data Visualization, Tableau, Power BI, Attention to Detail, Problem Solving, Communication Skills, Team Collaboration, Aviation Knowledge

Industry

Airlines and Aviation

Description

Apply advanced statistical and machine learning techniques to develop AI-driven solutions aimed at enhancing efficiency and customer experiences. Analyze data, predicting trends, and optimizing processes across different operational areas, contributing to incremental improvements in the airline's performance and competitiveness. Design, develop, and deploy cutting-edge predictive models and algorithms that address key challenges and opportunities within the aviation industry. 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. 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.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.

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Responsibilities

Apply advanced statistical and machine learning techniques to develop AI-driven solutions for enhancing efficiency and customer experiences. Collaborate with cross-functional teams to design and deploy predictive models that address challenges in the aviation industry.