Data Strategy Lead: ML, Analytics & Impact

Globe Telecom, Inc.

Metro Manila

On-site

PHP 900,000 - 1,300,000

Full time

6 days ago
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Benefits offered by this job

Career growth opportunities
Competitive compensation and benefits

Job summary

GCash is seeking a Data Strategist Lead to drive cross-functional data science projects from concept to actionable insights or automated products. You will present methodologies and business recommendations to stakeholders and collaborate with product teams for strategic direction.

The role asks for strong SQL and Python or R, the ability to translate questions into analytical or ML frameworks, and a track record of leading data initiatives and value realization for ML/AI products.

Qualifications

  • 2+ years in data science or analytics roles.
  • Undergraduate degree in a technical field; masters acceptable.
  • Strong SQL and Python or R for analytics.
  • Able to communicate complex data insights clearly.
  • Familiarity with data cloud services and automation.

Responsibilities

  • Produce cross-functional data science projects from concept to insight or automation.
  • Present methodologies, insights, and recommendations to stakeholders.
  • Collaborate with Mynt product teams for strategic direction.
  • Frame business questions into analytical or ML frameworks.
  • Lead value realization discussions for ML/AI products.

Skills

SQL
Python
R
Communication skills
Lead projects

Education

Bachelor's degree in Statistics
Bachelor's degree in Computer Science
Bachelor's degree in Economics
Master's or technical postgraduate courses in Data Science

Tools

Cloud data services

Job description

GCash is seeking a Data Strategist Lead to drive cross-functional data science projects from concept to actionable insights or automated products. You will present methodologies and business recommendations to stakeholders and collaborate with product teams for strategic direction.

The role asks for strong SQL and Python or R, the ability to translate questions into analytical or ML frameworks, and a track record of leading data initiatives and value realization for ML/AI products.

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