Director of Data Science

1 week ago

Kuala Lumpur, Kuala Lumpur, Malaysia QS Quacquarelli Symonds Full time

Why QS?


At QS, our culture fosters a flexible working environment that encourages our employees to own their career whilst personally and professionally thriving.

We collaborate, respect and support each other - and as a company, our values underpin these.

Our mission is to empower motivated people around the world to fulfil their potential through higher education, and to ensure everyone has the same opportunity to achieve that potential.

We celebrate the diversity of our teams and believe through sharing our experiences we can learn from one another and become stronger together, which enables us to achieve our goal.


At QS, you'll be responsible for implementing real change in the international higher education landscape, full of exciting and interesting challenges where you can drive positive impact across the business.


In October 2023 we were thrilled to be included in Newsweek's Top 100 Most Loved Workplaces in the UK list which is compiled using employee sentiment and satisfaction data.


The role
QS is looking for a Director of Data Science who's adaptable, diligent, and has a strategic mindset.


Fundamentally, the role will also be responsible for working with Senior Leaders to shape the strategy, structure, systems, people and processes of Data Science and AI/ML within the organisation, as well as the execution of this strategy across the business with a focus on driving student engagement and optimising institutional performance through the integration of best-in-class models across our suite of analytics, advisory and services capabilities.


This role will be hands-on, collaborating closely with other leaders both within the Strategy & Analytics team on tasks like joint prioritisation, resource allocation, and data asset development but also with wider stakeholders across the business.


The role will be expected to lead transformation within the organisation, working closely with stakeholders across Product, Engineering and any business functions benefiting from the capabilities and products developed internally.


Given the maturity of this function, we expect the role to operate at the intersection of leadership, people development and hands-on-work, requiring a flexible, hard-working but strategic mind.


Role responsibilities:

  • Oversee our data science technology stack, focusing on security, reliability, performance, efficiency, scalability, and cost.
  • Expand and standardize core services for data scientists, engineers, analysts and other stakeholders to securely interact with internal and external data science, machine learning, and artificial intelligence embedded products.
  • Owning & implementing our data science and AI/ML strategy across QS
  • Managing & developing our growing team of relevant technical specialists (e.g. Data Scientists, ML Engineers, ML Ops Engineers)
  • Leading the development of bespoke models and execution of external models that leverage our unique and thirdparty data sets to underpin drive student engagement and institutional performance
  • Defining and driving the capture of key input and training data as required by our data science, machine learning & artificial intelligence needs
  • Developing effective & efficient approaches to processing our data and training our models in order to maximise their direct and indirect utility
  • Driving sector impact through our models to optimise student outcomes, higher education institution performance and sector connectivity
  • Defining, developing & maintaining our data science technology stack (e.g. for internal modelling, external integrations & iterative experiments) optimising for security, reliability, performance, efficiency, scalability & cost
  • Establishing foundational services that data scientists, engineers & other stakeholders can leverage to securely and sustainably interact with internal and external data science, machine learning & artificial intelligence products
  • Evaluating & implementing new technologies/approaches that will enable us to further evolve and scale our data science, machine learning & artificial intelligence capabilities
  • Liaising closely with other leaders within the Data & Insight team on e.g. collaborative prioritisation, resourcing & data asset development
  • Acting as a critical friend to QS's Product and Technology teams to ensure the right prioritisation of work and outcomes for the organisation
  • Commissioning & overseeing projects/products delivered by external technical partners as needed
  • Any additional duties as required.

Key skills and experience:

  • Extensive experience in data science, machine learning or artificial intelligence
  • Experience in researching, designing, developing, testing and implementing innovative data science methodologies, processes and systems that have provided tangible business value to prior organizations.
  • Experience managing high performing data driven teams
  • Clear impact delivered both internally and to customers through

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