• Excellent communication, analytical skills, and decision-making ability in collaborative environments
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.

• Experience using Python & SQL (optional) to manipulate data and draw insights from large data sets
• Open source data science libraries and packages (Pandas, PySpark, Dask, Numpy, Scikit-learn, Tensorflow/PyTorch, Huggingface Transformers, OpenCV)
• Experience creating and using advanced machine learning algorithms and statistics using traditional ML (regression, simulation, scenario analysis, time series forecasting, clustering, decision trees) and DL (neural networks) methods
• Strong knowledge and experience in data cleaning, transformation and standardisation techniques (text mining, database record linkage, log data etc).
• Strong understanding of version control and related concepts and techniques (e.g. Git)
• Strong understanding of containerization technologies (e.g. Docker)

Interested cilck me to Apply