مطلوب Data Scientist
Job Purpose A World leader in air cargoRequirements & QualificationsKnowledge & Skills: Hands-on experience in Data Science ecosystemKnowledge & SkillsBenefits & ConditionsSo if you're looking for a challenging…
- الموقع
- الامارات
- النشر
- 2026-10-09
تفاصيل الوظيفة
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Job Purpose A World leader in air cargo
Requirements & Qualifications
- Knowledge & Skills: Hands-on experience in Data Science ecosystem
- Knowledge & Skills
Benefits & Conditions
- 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
- 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
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
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
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
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
Job Purpose
A World leader in air cargo
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.
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
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.
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.
So if you're looking for a challenging and rewarding opportunity، apply today and join our team!
ابدأ التقديم بثقة
اختر وسيلة التقديم أو التواصل المتاحة في الإعلان.
اختر الطريقة المتاحة في الإعلان
نعرض بيانات التواصل التي أضافها صاحب الإعلان كما كانت تظهر في الموقع السابق، مع فصل كل وسيلة بوضوح.
هل هذه الوظيفة مناسبة لك؟
راجع النقاط السريعة قبل الضغط على التقديم لتحسين فرصك.
قدّم بطريقة أوضح تزيد فرص الرد
اكتب رسالة مختصرة توضّح خبرتك وسبب مناسبتك للوظيفة.
- راجع الموقع والراتب والمتطلبات الأساسية.
- جهّز رسالة قصيرة مرتبطة بالوظيفة وخبرتك.
- قدّم من خلال زر التقديم أو وسيلة التواصل المتاحة.
سجّل الدخول للتقديم بدون تكرار بياناتك
الحساب يساعدك على حفظ الوظائف، تتبع حالة الطلب، واستخدام سيرتك الذاتية في التقديم بسرعة.
- جهّز رسالة مختصرة توضّح خبرتك المناسبة للوظيفة.
- أكمل السيرة الذاتية لتظهر بشكل أفضل لصاحب العمل.
التقديم المباشر غير متاح لهذا الإعلان
لم يتحقق شرط التقديم الداخلي المستخدم في الموقع السابق. استخدم وسيلة التواصل أو الرابط الخارجي إن كان متاحًا.
عرض طرق التواصل المتاحةالإبلاغ عن الإعلان
استخدم هذا النموذج إذا كان الإعلان غير صحيح أو يحتوي على بيانات مضللة أو محتوى غير مناسب.
تسجيل الدخول يساعد فريق المراجعة على متابعة البلاغ والتواصل معك عند الحاجة.
تسجيل الدخول