Senior Growth Data Scientist — Marketing & Analytics

GRABTAXI HOLDINGS PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+
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Job summary

GrabTaxi Holdings Pte. Ltd. in Singapore is seeking a Senior Data Scientist (Analytics) to drive data-informed growth strategies for our Marketing and Growth teams.

In this role, you will partner across Marketing and Growth to define metrics, design experiments, and implement regional strategies to expand our user base and engagement. This position is based onsite in Singapore. You will analyze user behavior, build dashboards, and collaborate with cross-functional teams to deliver data-driven

Qualifications

  • Minimum 4 years of professional experience in data analytics or related field.
  • Advanced proficiency in SQL, Python, or R for data manipulation and analysis.
  • Proven ability to translate complex data into actionable business insights.
  • Experience with large, complex datasets and distributed computing is preferred.
  • Strong communication to influence senior stakeholders.

Responsibilities

  • Analyze large, complex datasets to identify user behavior trends and growth opportunities.
  • Partner with Marketing, Growth, Product, and Business to define metrics and run experiments.
  • Design and implement scalable analytics frameworks and dashboards.
  • Communicate insights clearly to senior stakeholders and cross-functional teams.

Skills

Statistical modeling
Experiment design
Data storytelling
Analytical thinking
Cross-functional collaboration

Tools

SQL
Python
R
Big data / Spark
Data visualization tools

Job description

GrabTaxi Holdings Pte. Ltd. in Singapore is seeking a Senior Data Scientist (Analytics) to drive data-informed growth strategies for our Marketing and Growth teams.

In this role, you will partner across Marketing and Growth to define metrics, design experiments, and implement regional strategies to expand our user base and engagement. This position is based onsite in Singapore. You will analyze user behavior, build dashboards, and collaborate with cross-functional teams to deliver data-driven

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