Lead - Data Science

Maya Bank, Inc.; Manila; On-site; PHP 1,800,000 - 2,800,000; Full time

Job summary

Maya Bank, Inc. is seeking a Data Science Lead to drive AI strategy across customer acquisition, engagement, retention, and revenue growth.

You will lead a team of data scientists, translating business goals into scalable AI-powered solutions with cross-functional stakeholder collaboration. The role requires 7+ years in Data Science/ML and 3+ years in people leadership, with strong experience in clustering, propensity modeling, recommendations, and marketing analytics.

Qualifications

• 7+ years of experience in Data Science, ML or AI.
• 3+ years of people leadership in Data Science teams.
• Proven experience building clustering, propensity, recommendation, classification, and predictive models.
• Experience with marketing, growth, CRM, lifecycle or customer analytics initiatives.
• Experience partnering with Product, Marketing, Growth, and Engineering stakeholders.
• Experience with Marketing Platforms/CDPs is highly preferred.
• Experience in fintech, banking, or digital financial services is highly preferred.

Responsibilities

• Lead development and deployment of AI, ML, and analytics solutions to drive growth.
• Partner with stakeholders to translate challenges into scalable data science roadmaps.
• Design and oversee customer intelligence and marketing analytics initiatives.
• Establish standards for model development, validation, and governance.
• Collaborate with Engineering, Growth, CRM to operationalize models.
• 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

Leadership

Data Science

Machine Learning

Marketing analytics

Experimentation

Customer analytics

Education

Bachelor's degree in Statistics, CS, Mathematics, Data Science, Engineering, or related quantitative discipline

Tools

Marketing Platforms

CDPs

Campaign Management Systems

Customer engagement platforms

Job description

Overview:

We are looking for aData Science Leadto 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 inclustering, 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 least7+ years of experience in Data Science, Machine Learning, or AI, including the development and deployment of production-grade solutions.
• At least3+ years of people leadership experiencemanaging and developing high-performing Data Science teams.
• Proven experience building and deployingclustering, 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.