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Company Overview
This technology-focused organization is a leading platform in Southeast Asia, connecting millions of users and partners through a variety of on-demand services. Their Fulfilment tech family is a crucial component, dedicated to ensuring seamless and efficient experiences for both consumers and partners across their diverse marketplaces. The Pricing Data Science team within this group plays a vital role in creating balanced and thriving marketplaces by strategically determining prices that are attractive to users and sustainable for partners.
Senior Data Scientist (Dynamic Pricing)
Get to Know the Team
The Fulfilment tech family stands as a cornerstone, empowering the organization to excel in serving its consumers and partners across various businesses and marketplaces throughout Southeast Asia. Within this family, the Pricing Data Science team is instrumental in fostering efficient marketplaces by establishing prices that resonate with both partners and consumers, ensuring long-term viability and satisfaction.
Get to Know the Role
An opportunity exists for a highly skilled Senior Data Scientist to contribute to the development of self-optimizing pricing products. This role involves creating intelligent systems capable of automatically adjusting booking and order fares in response to the ever-evolving market dynamics, all in pursuit of predefined objectives. Reporting directly to the Head of Data Science (Pricing) and based on-site in Singapore, the successful candidate will play a key role in shaping the future of pricing strategies.
The Critical Tasks You Will Perform
The individual will be responsible for constructing self-optimizing pricing products that can dynamically adjust booking and order fares based on real-time market conditions.
The role includes the development of automated pipelines for scalable model parameter tuning and model deployment.
Active participation in code and design reviews will be expected to uphold superior development standards.
A key responsibility involves building and maintaining dashboards to monitor the health and performance of deployed Data Science solutions, including performance tracking, issue identification, and the implementation of enhancements.
The creation of comprehensive technical documentation detailing methodologies and findings will be necessary. Furthermore, the ability to present solutions and articulate complex concepts to non-technical stakeholders is crucial.
Continuous learning and application of the latest skills and knowledge to achieve project goals are expected.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
No Client Relationship: This company is not a client of SpringCube unless stated.
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No Liability: SpringCube is not liable for inaccuracies.
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