Job title: Data Scientist | Group Digital | Dubai
Job description: 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 su 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. 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.
Job date: Sun, 28 Nov 2021 23:24:07 GMT
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