Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Senior Data Scientist (Singapore)
Company Overview
The organization is a leading player in Southeast Asia’s digital economy, offering an integrated ecosystem of on-demand services, including transportation, food delivery, logistics, and financial solutions. Through its platform, the company aims to empower individuals and businesses in Indonesia and beyond by fostering digital progress and providing access to essential services.
Key Job Responsibilities
- Data Modeling and Problem-Solving: Design and implement advanced statistical and machine learning models to address complex business problems, optimize service delivery, and predict user behavior. Techniques used include deep learning, NLP, and time-series analysis.
- Cross-functional Collaboration: Partner with product managers, engineers, and senior executives to translate business goals into actionable data insights and drive business growth.
- Team Leadership and Mentorship: Mentor junior data scientists and analysts, fostering a collaborative environment and guiding best practices in model development and analytics.
- Data Governance and Quality Assurance: Develop data governance standards, oversee pipeline development, and ensure accuracy and accessibility of data.
- Experimentation: Design and conduct A/B testing to evaluate changes in product features, service delivery, and user interactions.
- Visualization and Communication: Create impactful visualizations and dashboards to present complex data insights clearly and effectively to non-technical stakeholders.
- Innovation and Development: Stay informed of advancements in data science and machine learning, applying innovative techniques to maintain a competitive edge.
Essential Skills and Qualifications
- Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- 5-7 years of experience in data science, ideally within the on-demand services or technology industry.
- Proficiency in Python, R, or Scala, and expertise in data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib).
- Strong statistical foundation and experience applying statistical concepts to real-world problems.
- Effective communication skills to convey complex technical concepts to diverse audiences.
- A passion for innovation and continuous learning in the evolving field of data science.
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- No Client Relationship: This company is not a client of SpringCube unless stated.
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