Emirates Airlines
Data Scientist at Emirates Airlines in Garhoud Area opposite to Airport Terminal 3, Dubai, UAEwill 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. This is a Senior level full time job. And salary can range between 15000-35000 AED/month.
Responsibilities of Data Scientist
- Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways.
- Develop dimensions of the DS project such as data analysis, visualization and development of tools, models and documentation.
- Analyze business metrics and KPIs to understand trends, identify issues and opportunities for optimization.
- 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 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.
Requirements for Role of Data Scientist
- Masters Degree (12+5 or equivalent). MSc in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
- 2-4+ 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, and 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.
- Experience of delivering advanced analytical projects to large, complex organizations in a multi-functional environment.
Skills And Knowledge Desired
- Able to challenge and review the quality and value generated from analytical output.
Junior Data Analyst Emirates Airlines Dubai
