Data Scientist: Intelligent Task Allocation & Optimization

Ellis Technologies, Inc. is seeking a Data Scientist in Singapore to lead the development of intelligent decision-making capabilities aimed at enhancing operational efficiency and task allocation. You will be central to a cross-functional initiative that improves how data signals are captured and used within a scaled delivery framework. The role requires deep expertise in building data-driven allocation systems, machine learning, and statistical modeling, with a proven track record of owning end-to-end solutions from concept to production. This includes developing predictive models using Python-based libraries such as scikit-learn or TensorFlow, integrating with cloud-based platforms like AWS or Google Cloud, and leveraging big data technologies like Hadoop or Spark. The ideal candidate will have hands-on experience in data visualization tools like Tableau or Power BI, proficiency in SQL and database management systems like MySQL or PostgreSQL, and a strong understanding of agile methodologies such as Scrum or Kanban. In addition to technical skills, the successful candidate should possess excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders. The role also requires a high level of analytical thinking, problem-solving, and creativity, with the ability to identify opportunities for process improvements and implement changes that drive business value.