Data Science Lead: AI, Personalization & Growth

Maya

Mandaluyong

On-site

PHP 1,800,000 - 2,600,000

Full time

19 hours ago
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Job summary

Maya is seeking a Data Science Lead to drive AI, ML, and customer intelligence strategies. You will lead a team to deploy analytics, ML, and AI solutions that boost customer acquisition, engagement, retention, personalization, and revenue across Maya's ecosystem.

The ideal candidate has strong background in clustering, segmentation, propensity modeling, recommendations, experimentation, and marketing analytics, and can translate business goals into scalable AI-powered systems.

Qualifications

  • Bachelor's degree in a quantitative field.
  • 7+ years in Data Science/AI/Machine Learning.
  • 3+ years of people leadership experience.
  • Proven experience with clustering, propensity, recommendation, and predictive models.
  • Experience supporting marketing, growth, CRM, lifecycle, or customer analytics.
  • Partnered with Product, Marketing, Growth, and Engineering stakeholders.

Responsibilities

  • Identify opportunities where AI and analytics can drive impact.
  • Translate challenges into scalable DS solutions and roadmaps.
  • Define project scopes, delivery plans, success metrics, and timelines.
  • Measure business impact of AI initiatives and communicate results.
  • Promote adoption of AI and experimentation across the organization.
  • Lead development and deployment of segmentation, clustering, propensity, and recommendation models.
  • Collaborate with Growth and CRM teams to leverage insights in Marketing Platforms and CDPs.
  • Mentor and coach DS team members.
  • Drive workforce planning and capability building.

Skills

Leadership
Data science
Machine learning
Customer segmentation
Clustering
Propensity modeling
Recommendation systems
Experimentation

Education

Bachelor's degree in Statistics/CS/Math/Data Science

Tools

Marketing Platforms
CDPs
Campaign Management Systems

Job description

Maya is seeking a Data Science Lead to drive AI, ML, and customer intelligence strategies. You will lead a team to deploy analytics, ML, and AI solutions that boost customer acquisition, engagement, retention, personalization, and revenue across Maya's ecosystem.

The ideal candidate has strong background in clustering, segmentation, propensity modeling, recommendations, experimentation, and marketing analytics, and can translate business goals into scalable AI-powered systems.

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