The Head of Data Science is responsible for creating new data science capabilities for the business by envisioning and executing strategies that enable informed decision-making and drive performance improvement.

The Head of Data Science drives experimental data modelling designs and constantly runs A/B tests to evaluate changes in the business’s product/services. They also track the business’s performance against data analysis models, monitor trends in key KPIs, and provide valuable insights to relevant departments for overall business performance improvement.

They design optimal data architecture and experiment with new machine-learning techniques, drawing on the expertise of their colleagues to ensure that all data science initiatives are executed to the highest standard.

They work proactively with business executives and departmental heads to provide advanced analytic data modelling systems. They design and launch complex analytic models using contemporary and traditional data mining techniques to analyze both structured and unstructured data sets.

They also lead the development of big data capabilities and coordinate cross-functional analytic initiatives, fostering collaboration across various departments to optimize the use of data and achieve business objectives.

Ultimately, the Head of Data Science serves as a driving force behind the organization’s data science efforts, ensuring that the business remains competitive and agile in an ever-evolving data-driven landscape. The exact role and responsibilities of a Head of Data Science heavily depend on the organization, its hierarchy, and its needs.