The purpose of this role is to works on new ways of capturing and analysing data to be used by the analysts; research and devise innovative statistical models for data analysis. Along with developing models, using machine learning, or incorporating advanced programming to find and analyse data.

Tasks & Responsibilities

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

• Participate in exciting projects covering the end-to-end Data Science lifecycle – from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.

• Strong expertise in developing explainable ML algorithms (e.g., regression, classification, clustering) and staying current with AI trends and advancements.

• End-to-end project ownership: From translating business needs into technical solutions, to building data/ML pipelines, deploying models, and implementing MLOps.

• Partner with stakeholders to ensure solutions meet requirements and translate technical values in business terminology.

• Skilled in building data stories from insights and using data mining techniques to generate insights.

• Review and validate models developed by team members and external party before production release.

• Develop company A/B testing framework and test model quality.

• Experience with cloud and big data architecture.

• Perform data exploration to find patterns in the data and understand the state and quality of the data available.

• Utilize Python code for analysing data and building statistical models to solve specific business problems.

• Evaluate ML models and fine tune model parameters considering the business problem behind.

• Deploy ML models into production that work as standalone data services.

• Build customer-facing reporting tools to provide insights and metrics which track system performance.

• Stay up to date about developments in Data Science and relevant fields to ensure that outputs are always relevant.

• 3+ years’ experience in implemented machine learning algorithms and Deep learning algorithms
• Excellent in statistical modeling, predictive modelling and inferential statics
• Sound knowledge of Python’s ML stack
• Arabic language desired (working knowledge)
• English required (advanced)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python
• Planning, organizing, and analytical skills