Senior Data Scientist Corporate Services Blue Rewards

Job Requisition ID: 170664

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A”rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the worlds most admired and innovative brands. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.

Overview Of The Role

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.

What You Will Do

• Work closely with the head of data science, head of analytics strategy and, potentially vendors, to identify analytics opportunities based on a deep understanding of AFG businesses and their information assets.
• Lead the delivery of use cases by proposing and delivering advanced analytic models, utilizing a blend of contemporary and traditional data mining techniques, applied to both structured and unstructured data sets.
• This includes, conducting data quality assessments, sharing relevant insights with business stakeholders, creating model monitoring solutions and conducting QA on other data science models (built internally or through 3rd party vendors).
• Implement models by transforming/optimizing for performance code and deploying them into production.
• Provide guidance, training and coaching to junior data scientists and the analytics community on data science frameworks, best practices, and technologies.
• 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
  
  

Required Skills To Be Successful

• Proven track record of shipping machine learning-powered algorithm products at B2C-like scale as well as working with cross-functional teams in an agile-like environment.
• “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.
• Practical experience of running impactful inferential analyses and data investigations to identify recurring patterns, root causes, and propose actionable product solutions.
• Design approaches to validate findings or test hypotheses, interpret experiments to measure the impact of new features.
• Have no problem communicating with ML/algorithm designs clearly to cross functional team members, especially engineers and product managers.
• Excellent organizational, multi-tasking, and time-management skills
  
  

What Equips You For The Role

• 7+ years of working experience in data science, with at least 3 years working in developing and deployment ML/DL solutions focused on batch and real-time data pipelines.
• Master’s degree in Statistics, Machine Learning, Mathematics, Economics, Computer Science, Engineering, or any other related quantitative field. Proven record of delivering business impact through analytics solutions.
• Highly 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, Azure IoT etc.
• Experience working with Developer tools such as Azure DevOps, PyCharm/MS Visual Studio, Docker etc. Well versed in CI/CD and MLOps.
• Experience with probability and statistics inclusive of machine learning, optimization, forecasting and experimental design.
• Deep 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.
  
  

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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.

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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