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Data Scientist | Al Futtaim Automotive | UAE

Date: 14-Oct-2021

Location: AE

Company: Al Futtaim Private Company LLC

Job Requisition ID: 109702 

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.

 

 

About the Role.

 

Acceleration of automotive division’s strategy of being a data driven organization and feeding advanced analytics models to CRM, Brand, marketing and Digital teams.

 

Some Key Responsibilities.

 

  • Work independently on all phases of an analytics project, including formulation, research, development, implementation, testing, and maintenance.
  • Designing new means of communication of descriptive and predictive modelling results through data visualizations, dashboards, apps.
  • Hands-on programming skills and ability to utilize a variety of data, analytics software, coding languages, and statistical tools. Deep experience with at least one of Python, PySpark, Scala or R, and SQL (mandatory).
  • Expected to develop, use and deploy statistical models such as: Generalized linear models, time series models, forecasting techniques, cluster analysis, anomaly detection, descriptive statistical techniques, statistical diagnostic techniques (e.g., significance testing, model fit, etc.) and principle component analysis.
  • Create supervised and unsupervised models, including decision trees, KNN models, and neural nets; and standard ML libraries

 

 

About You.

 

Education: BS in Statistics, Computer Science or other related field

 

Minimum Experience and Knowledge: 

  • 3-5 years of experience working in the Data Science or Machine Learning Engineering space with hands-on experience in building and deploying advanced analytics models on cloud platforms.
  • Proven skills in various programming and database languages, such as Python, PySpark, SQL.
  • Familiarity with consumer related data and a general interest in the retail, consumer products manufacturing, automotive, transportation, or hospitality sectors

 

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

  • Experience working on data science projects in a business or academic setting
  • Demonstrated capability building accurate predictive and other statistical models
  • Strong knowledge of statistics
  • Advanced Python programming
  • Experience with Git and CI/CD
  • Demonstrated business and strategy acumen.

 

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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.