Analyse large datasets using advanced statistical methods to uncover trends, patterns, gaps, and insights that can be leveraged for business growth.
Develop machine learning models to automate decision-making processes and improve operational efficiency.
Stay up to date with the latest advancements in data science and actively seek opportunities to apply new techniques and tools to enhance business opportunities.
Work closely with data engineer to optimize data storage, retrieval, and processing, ensuring efficient handling of datasets.
Identify and develop enhancements to systems that increase efficiencies through automation.
Facilitate the seamless deployment of models.
Requirements
Bachelor's Degree in Applied Statistics/Computer Science or similar qualification or relevant working experience (3 years of relevant working experience for senior roles).
Strong mathematical, statistical, background.
Experienced in AI and Data Science, including:
Machine learning algorithms (supervised and unsupervised)
Deep learning frameworks/algorithms (TensorFlow, PyTorch)
Proficient in Python programming and SQL, experience in PHP is a plus
