Al Futtaim Jobs - Data Scientist | ACE Hardware | Dubai (Dubai, AE)

Job Requisition ID: 50721 

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, Robinsons, 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:

Synthesize and leverage complex data-set based on applied advanced analytics to a variety of business situations to Build, validate, and maintain Operations Research (OR), Simulation.

 

KEY ROLE SPECIFIC ACCOUNTABILITIES:

Build and refine statistical models to gain better insight (primarily R Studio and Tableau experience to translate business analytics needs into data visualization and semantic data access requirements.

Apply advanced analytics to a variety of business situations; familiarity with a broad base of analytics tools and platforms, as well as a core programming language, such as: Python, C/C++, Scala, Java, and Ruby.

Synthesize and leverage complex data-set based on applied modeling, algorithms for analysis of data sources and business process.

Propose and implement relevant algorithms and Apply modelling concepts to solve complex business questions

Build, validate, and maintain Operations Research (OR), Simulation and AI (Machine Learning (ML) /Deep learning) models. Machine learning based —bias-variance tradeoff, exploration/exploitation—and understanding of various model families, including neural net, decision trees, Bayesian models, instance-based learning, association learning, and deep learning algorithms

Develop custom data models and algorithms to apply to data sets. Like Developing company A/B testing framework and test model quality for e-commerce.

 

PERSON SPECIFIC:

Education:  Bachelor’s Degree in Mathematics, Economics, Computer Science, Information Management, Statistics

 

Minimum Experience and Knowledge: 

• Advanced skills in Visualization, SQL, R, Microsoft Excel, PowerPoint, and at a minimum intermediate experience in all other Microsoft Office Products
• Technical expertise regarding data models, database design/Development, data mining  and other segmentation techniques
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• 3+ years work experience in technology or Computer science and Database management
• Proficiency in R, particularly to prototype mathematical model

 

Job-Specific Skills:

• Demonstrated track record of successful projects in applying quantitative techniques to improve a product or business.
• Domain expert in one of the fields: statistics, machine learning, optimization, and economics.
• Advance system proficiency, SAP & JDA experience in additional advantage
• Machine learning domain knowledge—bias-variance trade off, exploration/exploitation—and understanding of various model families, including neural net, decision trees, Bayesian models, instance-based learning, association learning, and deep learning algorithms
• Ability to work in a matrix environment with multiple business functions
• Strong team player and ability to work with the cross functional partners and senior management on all aspects of the business

We’re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish.

 

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.

 

As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.

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