Data Scientist (Emiratisation)

Brand: Emirates SkyCargo Job Purpose A World leader in air cargo. We possess a geographical advantage that enables us to reach over 140 destinations across 6 continents. We are able to cater to two-thirds of the world’s population in just 8 hours and serve major international trade regions quickly and efficiently. Our SkyCargo group works in partnership to facilitate global trade and connect customers with their destinations. We have a young, efficient, wide-bodied fleet, with ample capacity to transport cargo through our state-of-the-art, multi-airport hub in Dubai and adapt to our customers ever-changing needs. In the role of 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 across the Emirates Group portfolio with a focus on timely delivery and ownership of results. 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, visualisation 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. Qualification To be considered for this role, you must meet the below requirements: Qualifications: MSc in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics. Experience: 5+ years experience in Information Systems. Knowledge & Skills: - Hands-on experience in Data Science 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. - Hands-on experience with DevOps frameworks (Git, CI/CD, Docker). - Hands-on experience building libraries and packages to be re-used by others. - Hands-on experience building DS Solutions for production usage. - Team player with a problem solving attitude. - Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment. - Able to challenge and review the quality and value generated from analytical output. At Emirates, 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! Salary & benefits Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers

Qualifications: MSc in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics. Experience: 5+ years experience in Information Systems. Knowledge & Skills: - Hands-on experience in Data Science 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. - Hands-on experience with DevOps frameworks (Git, CI/CD, Docker). - Hands-on experience building libraries and packages to be re-used by others. - Hands-on experience building DS Solutions for production usage. - Team player with a problem solving attitude. - Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment. - Able to challenge and review the quality and value generated from analytical output.

In the role of 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 across the Emirates Group portfolio with a focus on timely delivery and ownership of results. - 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, visualisation 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.