Develop and implement data-driven solutions that drive business value and support the company's strategic goals.
Collaborate with cross-functional teams, including IT, software development, and infrastructure teams, to ensure that data and AI initiatives are integrated into the overall technology strategy.
Develop technical standards, best practices, and methodologies for data science, machine learning, and artificial intelligence projects.
Conduct hands-on technical work, including designing and developing data models, algorithms, and machine learning systems, as well as conducting data analysis and visualization.
Ensure the quality and accuracy of data and AI models, algorithms, and systems, including conducting testing and validation to ensure that models are accurate, reliable, and scalable.
Mentor and coach team members, including providing technical guidance, feedback, and support to help team members develop their technical skills and achieve their professional goals.
Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence.