Responsibilities:

• Analyze 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