dnata is one of the world’s largest air and travel services providers; offering ground handling, cargo, travel and catering & retail services at over 130 airports in more than 30 countries across six continents. At dnata, we are by your side for the entire travel experience. 

As Data Scientist, you will undertake Data Science (DS) projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems with a focus on timely delivery and ownership of results. This is a full-time role and is based in our Dubai office.

In this role, you will:

• Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to the stakeholders.


• Develop dimensions of the DS project such as data analysis, visualization and development of tools, models and documentation. Analyse business metrics and KPIs to understand trends, identify issues, and opportunities for optimisation.


• Address day-to-day technical issues, ensuring high quality of deliveries are achieved.


• Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.


• Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems through active involvement in the in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs.


• Support sprint/work design and planning projects to bridge the gap between research and analytics by providing data-driven solutions across the required areas.

To be considered for the role, you must meet the below requirements:

• Masters's degree in data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.


• Minimum 2 to 4+ years of hands-on experience in the Analytics ecosystem.


• Hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.)


• Hands-on experience with SQL, R, Python, DevOps frameworks (Git, CI/CD, Docker).


• Proficient in building libraries and packages to be re-used by others.


• Experience in building DS Solutions for production usage.


• Experience of delivering advanced analytical projects to large, complex organisations in a multifunctional environment.

You will have an edge, if you have:

• Experience in a dynamic & fast paced industry such as aviation or airline operations.

At dnata, part of Emirates Group, we’re committed to providing our employees with opportunities to grow and develop in their careers. So if you’re looking for a challenging and rewarding opportunity, apply today and join our team!

 
Recruitment Process and Timeline

dnata, part of Emirates Group, is an international organisation with employees from over 170 nationalities, we encourage applications from across the globe. Your application journey begins by applying via our Careers website. Please ensure your CV is up to date for our talent acquisition team to review your profile. If you meet the criteria of the role, you will then be invited to complete a HireVue video interview, to share more about your experience and your career aspirations. If you are shortlisted you will then be invited to interview with our hiring managers. If you are successful, your recruiter will reach out to you with an offer and then our Onboarding team will ensure a smooth transition to your new role.