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HEAD OF DATA SCIENCE （IT / Software House)

HEAD OF DATA SCIENCE （IT / Software House)

BUSINESS EDGE PERSONNEL SERVICES PTE LTDSingapore, Pedra Branca, Singapore
30+ days ago
Job description

About the Role :

To 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

To do more than “analyse” — to enable the system to understand users, predict trends, manage risks, and unlock commercial potential in the B2B domain.

Location : Town

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

    • 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.)

    • 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）

    • Education

    Master's degree or higher in Mathematics, Statistics, Computer Science, Economics, or related fields

    EA License No : 96C4864

    CEI Reg No : R1873093 (LOH CHIANG SOON)

    J-18808-Ljbffr

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    Head Of Data Science • Singapore, Pedra Branca, Singapore