Data Scientist

• Company The Emirates Group
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Experience - 2 - 4 Years

Job Location - Dubai - United Arab Emirates

Education - Bachelor of Science, Master of Science, Ph.D/Doctorate

Nationality - Any Nationality

Job Description

Job Purpose
Undertake data science 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. The role will require strong skills in computer science, mathematics, statistics and creative problem solving.
Job Outline:
- 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.
Qualifications & Experience
Qualifications:
MSc/PhD in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
Experience:
2-4+ years of hands-of experience in the Analytics ecosystem including:
- 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 working with DevOps & Engineering teams to integrate the development code for models, workflows, libraries & packages into automation processes
- 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.
- Focus on driving business value for business clients to support long term relationships. Ability to grow teams, ensuring the culture and strategy gets followed by the new hires.