Al Futtaim Jobs - Data Scientist | Group Digital | Dubai (Dubai, AE)

Job Requisition ID: 110381 

No two days are the same at Al-Futtaim, no matter what role you have. Our work is driven by the desire to make a difference and to have a meaningful impact with the goal of enriching everyday lives. Take our engaging and supportive work environment and couple it with a company culture that recognises and rewards quality performance, and what do you get? The chance to push the limits every single day.

 

As a humble family business that started on the banks of the Dubai Creek in the 1930s, Al-Futtaim has expanded to a presence in 31 countries, a portfolio of over 200 companies, and 42,000 employees. You’ll find us in industries ranging from automotive and retail, to finance and real estate, and connecting people with international names like Lexus, Ikea, and Adidas. Our team is proudly multicultural and multinational because that kind of diverse representation gives us the global mindset to grow and impact the people, markets, and trends around us.

 

Come join us to live well, work better, and be the best.

 

 

 

ROLE PURPOSE

 

We are currently seeking an experienced Data Scientist to join our Group Digital team.

 

The purpose of the role is to lead the development and deployment of cross-functional data science use cases at Al Futtaim Group (AFG). Reporting to the Head of Data Science, the Senior Data Scientist will leverage AI and cloud technologies for ROI maximization through executing forecasting, predictive and optimization analytics models. The role holder will support in coaching/training junior data scientists and developing a set of standards/protocols to ensure that the data science practice is scalable and future-proof.

 

Key Accountabilities:

• Work closely with the senior data scientist, head of data science, and program managers to identify analytics opportunities based on a deep understanding of AFG businesses and their information assets.
• Implement models by transforming/optimizing for performance
• Advanced analytics use cases succesfully deployed code and deploying them into production                                                
• Support in the development of analytics standards and protocols to ensure scalability and support self-service advanced analytics Research and stay up to date on latest data science and analytics approaches and practices in the market ensuring that, when relevant, these are appropriately leveraged within Data and Analytics function
• Implemented standards and protocols
• Growth in citizen data scientist community
• Up-to-date modern approaches and practices on data science

 

Candidate requirements:

 

Education:  

• Master’s   degree   in   Statistics,   Machine   Learning,   Mathematics,   Economics,   Computer   Science, Engineering, or any other related quantitative field.

 

Professional Skill Requirements

• You  have  a  strength  in  the  “design  and  prototype”  part  of  the  ML  development  pipeline,  beginning  with pulling datasets from SQL and ending with serializing ML models and assisting engineers to productionize model retraining and model serving systems
• You have practical experience of running impactful inferential analyses and data investigations to identify recurring patterns, root causes, and propose actionable product solutions
• You  know  how  to  design  approaches  to  validate  findings  or  test  hypotheses,  interpret  experiments  to measure the impact of new features
• You have excellent organizational, multi-tasking, and time-management skills

 

Minimum Experience and Knowledge:

• 3+ years of working experience in data science, with at least 1 years working in developing and deployment
• ML/DL solutions focused on batch and real-time data pipelines
• Experience with probability and statistics inclusive of machine learning, optimization, forecasting and experimental design
• Good understanding of machine learning & deep learning concepts and algorithms, various statistical techniques, and experimentation analysis workflows
• Experience in benchmarking and model performance evaluation and improvement

 

Job-Specific/Technical Skills required to complete the tasks:

• Proficient and experienced in scripting languages and have rapid prototyping skills, that is, fluency in SQL, Python, Spark, etc. among others
• Experience on the Azure Cloud platform: including Azure Databricks, Azure ML and etc.
• Experience working with Developer tools such as Azure DevOps, PyCharm/MS Visual Studio, Docker etc.

 

 

 

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Before you click “apply”: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.

 

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