Senior Executive (Data Science), Data Analytics Office

We are seeking talented individuals with a robust background and a passion for analytics and generative AI to join our dynamic team. In this role, you will utilize your expertise to analyze complex healthcare data, develop predictive models, and create generative AI solutions that enhance patient care and organizational efficiency.

You will be responsible for planning, supporting, and coordinating data and digital strategic projects and initiatives for the hospital, ensuring data quality, operational management, and governance across various stakeholders. Your role will involve providing vital insights through advanced data analysis techniques, employing appropriate evaluation methodologies to support management decision-making.

Additionally, you will explore solutions that evaluate, determine, and improve the efficiency of related processes, ultimately enhancing the quality of patient care delivery. Effective communication and collaboration with internal and external stakeholders will be essential, as you will also support the department with administrative tasks as needed.

Requirements:

• Recognized Degree (STEM) with 4 years’ relevant work experience preferred.
• Experienced in data programming languages such as Python, R programming and SQL(eg libraries such as TensorFlow, PyTorch, or Keras)
• Proficient in Microsoft office applications especially Microsoft Excel skills (pivot tables, macros) and visual basic is essential.
• Hands on analytical experience in data mining/simulation modelling, operations research & quantitative analysis such as forecasting and predictive analysis is essential.
• Prior experience in ETL (Extract, Transform, Load) and unstructured data management including dashboard development experience.
• Experience with data science techniques such as text analytics, data mining, clustering, and machine learning .
• Strong analytical and critical thinking abilities to tackle complex problems and derive actionable insights.
• Generative Models: Familiarity with generative adversarial networks (GANs), variational autoencoders (VAEs), and other generative modeling techniques including deployment preferred.
• Collaboration and Communication: Ability to work effectively in teams and communicate technical concepts to non-technical stakeholders.
• A team player with a positive mindset, meticulous and resourceful
• Able to work independently with good time management skills and initiative to keep up with latest advancements.
• Experience in the healthcare industry is an advantage.