Lead - Data Science

Maya; Metro Manila; On-site; PHP 2,000,000 - 4,500,000; Full time

Job summary

Maya is seeking a Data Science Lead to drive its AI, ML, and customer intelligence strategy, leading a team of data scientists to develop analytics that boost acquisition, engagement, retention, and revenue across Maya's ecosystem.

The ideal candidate has deep expertise in clustering, segmentation, propensity modeling, recommendation systems, experimentation, and marketing analytics, and can translate business goals into scalable AI solutions.

Qualifications

• Bachelor's degree in a quantitative field.
• 7+ years of experience in data science/AI.
• 3+ years of people leadership experience.
• Proven experience with clustering, propensity, recommendation, classification, and predictive models.
• Experience supporting marketing, growth, CRM, lifecycle, personalization or customer analytics.
• Experience partnering with Product, Marketing, Growth, and Engineering stakeholders.
• Experience with marketing platforms, CDPs, and customer engagement systems is preferred.
• Fintech/banking or large-scale consumer tech experience is a plus.
• Product scaling, experimentation and growth analytics experience is a plus.
• R&D experience in emerging AI technologies is a plus.

Responsibilities

• Lead development and deployment of AI/ML/analytics to drive growth and personalization.
• Translate business challenges into scalable data science roadmaps with measurable outcomes.
• Design customer intelligence initiatives including segmentation and propensity modeling.
• Establish model development standards, governance, monitoring, and explainability.
• Collaborate with Engineering, Growth, CRM to operationalize models across journeys.
• Drive adoption of emerging AI technologies and experimentation frameworks.
• Present insights and recommendations to senior leadership.
• Mentor and develop a high-performing data science team.

Skills

clustering

customer segmentation

propensity modeling

recommendation systems

experimentation

marketing analytics

people leadership

cross-functional collaboration

Education

Bachelor's degree in statistics, CS, math, data science, or eng

Tools

Marketing Platforms

CDPs

Campaign Management Systems

CRM systems

Job description

Our goal is for everyone to make bolder choices with their finances.

To get there, we're creating an all-in-one ecosystem of financial services for today's generation of goal-getters. That feat takes extraordinary people-those with the guts to challenge the way things are and transform them into something better.

To be part of Team Maya is to be Bolder for Better.

Description:

Overview:

We are looking for a Data Science Lead to drive Maya's AI, machine learning, and customer intelligence strategy. This role will lead a team of Data Scientists in developing and deploying advanced analytics, machine learning, and AI solutions that improve customer acquisition, engagement, retention, personalization, and revenue growth across Maya's ecosystem.

The ideal candidate has strong expertise in clustering, customer segmentation, propensity modeling, recommendation systems, experimentation, and marketing analytics, and can translate business objectives into scalable AI-powered solutions. This leader will work closely with Marketing, Product, Growth, Engineering, and Business stakeholders to build and operationalize Maya's intelligence layer while establishing best practices across the Data Science function.

What you will do:

• Lead the development and deployment of AI, machine learning, and advanced analytics solutions that drive customer acquisition, engagement, retention, personalization, and business growth.
• Partner with business leaders and cross-functional stakeholders to translate complex business challenges into scalable data science solutions, technical roadmaps, and measurable business outcomes.
• Design and oversee customer intelligence and marketing analytics initiatives, including customer segmentation, clustering, propensity modeling, recommendation systems, customer lifetime value prediction, and next-best-action frameworks.
• Establish and maintain high standards for model development, experimentation, validation, explainability, governance, monitoring, and scalability to ensure reliable production-grade AI solutions.
• Collaborate closely with Engineering, Machine Learning Engineering, Growth, and CRM teams to operationalize machine learning models and embed data-driven decision-making across customer journeys and marketing platforms.
• Champion innovation by driving the adoption of emerging AI technologies, advanced analytics methodologies, experimentation frameworks, and best practices across the organization.
• Present insights, model performance, and strategic recommendations to senior leadership, demonstrating the business impact of AI and machine learning initiatives.
• Mentor and develop a high-performing Data Science team through coaching, capability building, workforce planning, and fostering a culture of technical excellence and continuous learning.

What we are looking for:

• Bachelor's degree in Statistics, Computer Science, Mathematics, Data Science, Engineering, or a related quantitative discipline.
• At least 7+ years of experience in Data Science, Machine Learning, or AI, including the development and deployment of production-grade solutions.
• At least 3+ years of people leadership experiencemanaging and developing high-performing Data Science teams.
• Proven experience building and deploying clustering, propensity, recommendation, classification, and predictive models.
• Experience supporting marketing, growth, CRM, lifecycle, personalization, or customer analytics initiatives.
• Experience partnering with Product, Marketing, Growth, and Engineering stakeholders.
• Experience with Marketing Platforms, Customer Data Platforms (CDPs), Campaign Management Systems, or customer engagement platforms is highly preferred.
• Experience within fintech, banking, digital financial services, or large-scale consumer technology companies is highly preferred.
• Product scaling, experimentation, and growth analytics experience is a plus.
• Research and development experience in emerging AI technologies is a plus.

About Us

Maya is the all-in-one money platform that is bringing Filipinos bolderways to master their money.It is powered by a unique integrated financial services ecosystem that addresses the ever-evolving needs of today’s generation of moneymakers through cutting edge technology.

Welead millions of Filipinos — consumers, businesses,communities, and government agencies alike — into a version ofthe current digital economy that’s more inclusive, transparent,and empowering than ever.

We arepowered by the country's only end-to-end digital payments company Maya Philippines, Inc. and Maya Bank, Inc. for digital banking services.

Maya Bank, Inc. and Maya Philippines, Inc. are regulated by the Bangko Sentral ng Pilipinas. https://www.bsp.gov.ph/