Location: Singapore (Hybrid Remote Option Available)

Reports to: CEO / Head of Strategic Products

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Position Overview

We are an SME software house founded by experienced IT professionals, specializing in providing CRM and other customized software applications and solutions to our clients. We are committed to continuously growing and nurturing our talent pool to meet the dynamic and challenging market demands, driving ongoing innovation in product development. Our company handles large-scale user and system interaction data and is actively enhancing its core data capabilities. We are building the next phase of our data intelligence hub. We seek a leader with strong data modelling, product insight, and business-driven abilities to transform vast user data into long-term strategic advantages.

You will lead a cross-disciplinary data science team to build from scratch:
• User behaviour models
• User Lifetime Value (LTV) prediction systems
• Partner credit scoring systems
• Anomaly detection and risk identification systems
• Recommendation engines and user preference algorithms

You will do more than "analyse" - you will enable the system to understand users, predict trends, manage risks, and unlock commercial potential in the B2B domain.

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Responsibilities

Strategy & Leadership:
• Develop a company-wide data science roadmap, defining the role and deliverables of the "data platform"
• Build and lead a data science team (model development, data products, engineering support)
• Drive productization of data capabilities to serve key departments such as product, operations, marketing, and risk management

Modelling & Algorithms:
• Design and deploy core predictive models including user LTV, risk assessment, and behaviour tagging
• Participate in the design of anomaly detection, risk identification, and key account recognition algorithms
• Establish A/B testing frameworks to evaluate model contributions to business growth

Data-Driven Product Design:
• Collaborate with product managers and developers to convert model outputs into features or recommendation systems
• Deliver partner value modelling, personalized policy pricing, and strategic tools for the B2B segment
• Foster a "data-driven operations" culture to shift from experience-based to evidence-based decision-making

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Qualifications

Required:
• Master's degree or higher in Mathematics, Statistics, Computer Science, Economics, or related fields
• Minimum 5 years of practical experience in data science or machine learning, including 2+ years in team leadership
• Proficient in modelling techniques (clustering, regression, time series, Bayesian, graph models, etc.)
• Able to independently design various models such as user profiling, lifecycle, recommendation, and risk control
• Skilled in Python / R / SQL and familiar with modern data infrastructure (e.g., Airflow, Spark, Kafka)
• Proven track record of deploying models that drive tangible business results (ROI, retention, conversion, etc.)

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Preferred:
• Experience with high-user-volume platforms such as digital gaming, e-commerce, or finance
• Deep understanding of real-time risk management, recommendation systems, VIP scoring, and anomaly detection
• Engineering mindset with experience in productizing and deploying models to production
• Knowledgeable in data intellectual property rights, security, and ethics (data as a core enterprise asset)

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What We Offer
• Data scale: trillions of behavioural data points with cross-product and cross-platform complete user interaction traces
• Diverse business scenarios: from consumer experience to enterprise collaboration strategies, covering recommendation and risk management systems
• Top-level support: CEO personally champions the data strategy, free from middle management constraints
• Global system: serving clients across multiple countries, with high modelling complexity and potential
• High autonomy: your models can become key engines driving company revenue and risk control

If you are not satisfied with merely running reports and want to turn data into the core asset of a platform, this role is made for you.