Lead Data Scientist [MARTECH]

Maya; Mandaluyong; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Maya is seeking a Data Science Lead to drive AI, ML, and customer intelligence strategies across its ecosystem. You will lead a team of Data Scientists to build and deploy advanced analytics, segmentation, propensity, and recommendation models, collaborating with Marketing, Product, Growth, and Engineering to scale impact.

You will translate business goals into scalable AI-powered solutions, oversee model governance and performance, and mentor junior staff while shaping Maya's analytics roadmap.

Qualifications

• Bachelor's degree in Statistics, Computer Science, Mathematics, Data Science, Engineering, or a related quantitative discipline.
• 7+ years of experience in Data Science, Machine Learning, or AI, including production-grade solutions.
• 3+ years of people leadership experience managing high-performing Data Science teams.
• 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, 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.
• R&D experience in emerging AI technologies is a plus.

Responsibilities

• Lead a team of Data Scientists to develop and deploy advanced analytics, machine learning, and AI solutions across Maya's ecosystem.
• Translate business objectives into scalable AI-powered solutions and technical roadmaps.
• Define project scopes, delivery plans, success metrics, timelines, and resource requirements.
• Measure and communicate the business impact of AI and machine learning initiatives.
• Advocate for AI adoption and advanced analytics throughout the organization.
• Drive innovation by promoting emerging technologies, methodologies, and algorithms.
• Collaborate with stakeholders to define and execute a comprehensive AI and customer intelligence strategy.
• Partner with Engineering and ML Engineering teams to operationalize and scale Data Science solutions.

Skills

Team leadership

Data science expertise

Marketing analytics

Education

Bachelor's degree in Statistics / Computer Science / Mathematics / Data Science / Engineering

Tools

Marketing Platforms

Customer Data Platforms (CDPs)

Campaign Management Systems

Customer engagement platforms

Job description

CORE PROFILE

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.

NATURE OF WORK

Leadership & Delivery

• Identify and prioritize business opportunities where AI, machine learning, and advanced analytics can drive significant impact.
• Translate business challenges into scalable Data Science solutions and technical roadmaps.
• Define project scopes, delivery plans, success metrics, timelines, and resource requirements.
• Measure and communicate the business impact of AI and machine learning initiatives.
• Advocate for the adoption of AI, machine learning, experimentation, and advanced analytics throughout the organization.
• Drive innovation by promoting the use of emerging technologies, methodologies, and algorithms.
• Collaborate with stakeholders to define and execute a comprehensive AI and customer intelligence strategy across the organization.
• Partner with Engineering and Machine Learning Engineering teams to operationalize and scale Data Science solutions.

Customer Intelligence, Marketing Analytics & AI

• Lead the development and deployment of customer segmentation, clustering, propensity, recommendation, and predictive models that support marketing, growth, lifecycle, and retention initiatives.
• Design advanced analytical frameworks that improve customer targeting, personalization, campaign effectiveness, and customer lifetime value.
• Develop models for use cases such as:
• Propensity to Purchase
• Propensity to Churn
• Propensity to Upgrade
• Cross-sell and Upsell Recommendations
• Next Best Action
• Customer Lifetime Value Prediction
• Customer Segmentation and Clustering
• Partner with Growth and CRM teams to leverage machine learning insights within Marketing Platforms, Customer Data Platforms (CDPs), and campaign orchestration tools.
• Drive the adoption of data-driven experimentation, uplift modeling, and causal inference methodologies.

Technical Leadership

• Lead the translation of complex business problems into actionable Data Science frameworks and machine learning solutions.
• Oversee the design, development, validation, and deployment of machine learning and AI models.
• Review methodologies, technical approaches, experimentation frameworks, and code to ensure quality and alignment with business goals.
• Establish standards for model explainability, monitoring, governance, and scalability.
• Present model performance, business impact, and recommendations to executive stakeholders.

People Management

• Mentor and coach both senior and junior Data Scientists.
• Create development plans that align individual career goals with organizational priorities.
• Lead workforce planning, capability building, and team engagement initiatives.
• Drive organizational improvements that strengthen team effectiveness and business outcomes.

REQUIRED QUALIFICATIONS

• 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.