Lead - Data Science

Maya; Manila; On-site; PHP 3,000,000 - 6,000,000; Full time

Job summary

Maya is seeking a Data Science Lead to drive its AI and customer intelligence strategy. You will lead a team of data scientists to develop scalable ML solutions that boost acquisition, engagement, and revenue across Maya’s ecosystem.

You will partner with Marketing, Product, Growth, Engineering, and CRM to translate business goals into measurable data-driven initiatives, establish governance, and ensure production-grade deployments.

Qualifications

• Bachelor's degree in Statistics, CS, Math, Data Science, Engineering, or related quantitative discipline.
• 7+ years in Data Science, ML, or AI with production deployments.
• 3+ years of people leadership experience.
• Experience building 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, CDPs, Campaign Management Systems, or customer engagement platforms is highly preferred.
• Fintech or digital financial services experience is highly preferred.
• Product scaling, experimentation, and growth analytics experience is a plus.
• R&D in emerging AI technologies is a plus.

Responsibilities

• Lead development and deployment of AI, ML, and analytics solutions for customer acquisition and growth.
• Translate business challenges into data science roadmaps with measurable outcomes.
• Design customer intelligence and marketing analytics initiatives (segmentation, propensity modeling, recommendations, LTV, next-best-action).
• Ensure model development standards: validation, explainability, governance, monitoring, and scalability.
• Collaborate with Engineering, Growth, CRM to operationalize models across journeys and platforms.
• Drive adoption of emerging AI technologies and experimentation frameworks.
• Present insights and recommendations to senior leadership with business impact.
• Mentor and grow the Data Science team through coaching and capability building.

Skills

Data science leadership

ML model deployment

Marketing analytics

Stakeholder collaboration

Team mentoring

Education

Bachelor's degree in quantitative field

Tools

CDPs

Campaign Management Systems

Marketing Platforms

Job description

Job Description:

Data Science and AI

Our Mission

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 experience managing 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.

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

We are powered 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/