SMAI Senior Data Scientist
IT Hardware & Devices: Personal Computing
Singapore, All Areas
Published 2 days ago
Salary: SGD5,000 - SGD10,000
- Global Companies
- Data Science, Analytics & Data Engineering
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Data Scientist – Data Acquisition
Full time - Senior Associate/ Asst Manager
Social Networking & Media
Singapore, All Areas
Published 4 days ago
Salary: SGD5,000 - SGD10,000
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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.
Company Overview
This leading global social media and data-driven platform powers exponential growth through high-quality labeled data and advanced analytics. The company emphasizes scalable data infrastructure, intelligent decision-making, and innovative solutions to optimize operational efficiency across its global operations.
Job Title: Data Scientist – Data Acquisition
Location: Singapore
Employment Type: Regular
Job Description
Responsibilities
• Lead the development of intelligent decision-making capabilities to enhance operational efficiency, workforce utilization, and task allocation.
• Optimize how data signals are captured, transformed, and applied in scaled delivery frameworks.
• Design and develop data-driven models and frameworks supporting assignment prioritization and resource utilization.
• Build and maintain pipelines that convert raw signals—including behavioral data, task attributes, and performance metrics—into structured features for decision-making.
• Develop and manage project plans, timelines, and budgets for data science initiatives.
• Communicate project progress, challenges, and results to stakeholders and senior management.
Qualifications
Minimum Qualification(s):
• At least 5 years of experience applying machine learning, statistical modeling, or optimization to operational or business challenges.
• Strong skills in data wrangling, feature development, and exploratory analysis.
• Proficient in Python and SQL; experienced with large-scale or distributed data systems.
• Proven track record of owning end-to-end data projects from requirements gathering to implementation.
Preferred Qualification(s):
• Background in decision science, resource allocation models, or workflow optimization.
• Experience in structured operational environments such as service delivery, content review, or quality control systems.
• Understanding of experimentation infrastructure, including A/B testing and metric design.
• Ability to communicate technical insights clearly to both technical and business audiences.
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.
- To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
- No Liability: SpringCube is not liable for inaccuracies.
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