Senior Data Scientist -Blue Rewards- Corporate Services at Al-Futtaim in Dubai, Dubai, United Arab Emirates

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Job Description

<p>Job Requisition ID: 160863</p><p>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 Arab 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 world's 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.</p><h3>Overview Of The Role</h3><p>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.</p><h3>What You Will Do</h3><ul><li>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.</li><li>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.</li><li>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 third-party vendors) - Advanced analytics models that meet use case objectives.</li><li>Implement models by transforming/optimizing for performance code and deploying them into production, and coach junior data scientists.</li><li>Support in the development of analytics standards and protocols to ensure scalability and support self-service advanced analytics.</li></ul><h3>Required Skills To Be Successful</h3><ul><li>Highly proficient and experienced in scripting languages and have rapid prototyping skills, that is, fluency in SQL, Python, Spark, etc.</li><li>Experience on the Azure Cloud platform: including Azure Databricks, Azure ML, Azure IoT, etc.</li><li>Experience working with Developer tools such as Azure DevOps, PyCharm/MS Visual Studio, Docker, etc.</li><li>Well versed in CI/CD and MLOps.</li></ul><h3>What Equips You For The Role</h3><ul><li>Master’s degree in Statistics, Machine Learning, Mathematics, Economics, Computer Science, Engineering, or any other related quantitative field.</li><li>Practical experience of running impactful inferential analyses and data investigations to identify recurring patterns, root causes, and propose actionable product solutions.</li><li>Know how to design approaches to validate findings or test hypotheses, interpret experiments to measure the impact of new features.</li></ul><p>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 personalized 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 behaviors, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.</p><p>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.</p>

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