Chief Geospatial Data Science Leader

Gravitas Recruitment Group (Global) Ltd

Singapore

On-site

SGD 180,000 - 240,000

Full time

30 hours ago
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Job summary

Gravitas Recruitment Group (Global) Ltd seeks an experienced data science leader to set technical direction and guide advanced analytics across large-scale data challenges. The role combines strategic ownership, technical leadership, people development, and practical delivery to translate ambiguous problems into measurable outcomes.

You will advance analytical methods, improve data product reliability, and ensure models deliver sustained value in real-world environments, balancing long-term

Qualifications

  • Bachelor's or master's in a quantitative/computational field.
  • Extensive experience leading data science teams and ML/AI programs.
  • Strong knowledge of ML methods and model evaluation.
  • Solid understanding of graph structures and related algorithms.
  • Experience applying DS techniques to spatial, location, or movement problems.
  • Strong Python and SQL skills with ML libraries.

Responsibilities

  • Set data science strategy and priorities aligned with product goals.
  • Lead design and deployment of ML solutions for large-scale data problems.
  • Oversee team development and collaboration with product/engineering.
  • Ensure robust model evaluation, monitoring, and governance.
  • Translate complex data problems into structured delivery plans.

Skills

Python
SQL
ML
Leadership
Strategy

Education

Quant degree

Tools

Graph algorithms
Spark
Cloud platforms

Job description

Gravitas Recruitment Group (Global) Ltd seeks an experienced data science leader to set technical direction and guide advanced analytics across large-scale data challenges. The role combines strategic ownership, technical leadership, people development, and practical delivery to translate ambiguous problems into measurable outcomes.

You will advance analytical methods, improve data product reliability, and ensure models deliver sustained value in real-world environments, balancing long-term

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