Lead - Data Science

Maya; Mandaluyong; On-site; PHP 4,000,000 - 8,000,000; Full time

Job summary

Maya is the all-in-one money platform empowering Filipinos to master their money through an integrated financial services ecosystem. We are seeking a Data Science Lead who can drive Maya's AI, ML, and customer intelligence strategy, leading a team of data scientists to develop and deploy advanced analytics that boost acquisition, engagement, retention, personalization, and revenue across Maya's ecosystem.

The ideal candidate will excel in clustering, segmentation, propensity modeling,

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.

Responsibilities

• 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 ML initiatives.
• Advocate for the adoption of AI, ML, experimentation, and advanced analytics throughout the organization.
• 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

Data science leadership

Clustering

Customer segmentation

Propensity modeling

Recommendations

Experimentation

Marketing analytics

Team leadership

Education

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

Tools

Marketing Platforms

CDPs

Campaign management systems

Customer engagement platforms

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:CORE PROFILE

WearelookingforaDataScienceLead todriveMaya'sAI,machinelearning,andcustomerintelligencestrategy.ThisrolewillleadateamofDataScientistsindevelopinganddeployingadvancedanalytics,machinelearning,andAIsolutionsthatimprovecustomeracquisition,engagement,retention,personalization,andrevenuegrowthacrossMaya'secosystem.

Theidealcandidatehasstrongexpertiseinclustering,customersegmentation,propensitymodeling,recommendationsystems,experimentation,andmarketinganalytics,andcantranslatebusinessobjectivesintoscalableAI-poweredsolutions.ThisleaderwillworkcloselywithMarketing,Product,Growth,Engineering,andBusinessstakeholderstobuildandoperationalizeMaya'sintelligencelayerwhileestablishingbestpracticesacrosstheDataSciencefunction.

NATUREOFWORK

Leadership&Delivery

• IdentifyandprioritizebusinessopportunitieswhereAI,machinelearning,andadvancedanalyticscandrivesignificantimpact.
• TranslatebusinesschallengesintoscalableDataSciencesolutionsandtechnicalroadmaps.
• Defineprojectscopes,deliveryplans,successmetrics,timelines,andresourcerequirements.
• MeasureandcommunicatethebusinessimpactofAIandmachinelearninginitiatives.
• AdvocatefortheadoptionofAI,machinelearning,experimentation,andadvancedanalyticsthroughouttheorganization.
• Driveinnovationbypromotingtheuseofemergingtechnologies,methodologies,andalgorithms.
• CollaboratewithstakeholderstodefineandexecuteacomprehensiveAIandcustomerintelligencestrategyacrosstheorganization.
• PartnerwithEngineeringandMachineLearningEngineeringteamstooperationalizeandscaleDataSciencesolutions.

CustomerIntelligence,MarketingAnalytics&AI

• Leadthedevelopmentanddeploymentofcustomersegmentation,clustering,propensity,recommendation,andpredictivemodelsthatsupportmarketing,growth,lifecycle,andretentioninitiatives.
• Designadvancedanalyticalframeworksthatimprovecustomertargeting,personalization,campaigneffectiveness,andcustomerlifetimevalue.
• Developmodelsforusecasessuchas:
• PropensitytoPurchase
• PropensitytoChurn
• PropensitytoUpgrade
• Cross-sellandUpsellRecommendations
• NextBestAction
• CustomerLifetimeValuePrediction
• CustomerSegmentationandClustering
• PartnerwithGrowthandCRMteamstoleveragemachinelearninginsightswithinMarketingPlatforms,CustomerDataPlatforms(CDPs),andcampaignorchestrationtools.
• Drivetheadoptionofdata-drivenexperimentation,upliftmodeling,andcausalinferencemethodologies.

TechnicalLeadership

• LeadthetranslationofcomplexbusinessproblemsintoactionableDataScienceframeworksandmachinelearningsolutions.
• Overseethedesign,development,validation,anddeploymentofmachinelearningandAImodels.
• Reviewmethodologies,technicalapproaches,experimentationframeworks,andcodetoensurequalityandalignmentwithbusinessgoals.
• Establishstandardsformodelexplainability,monitoring,governance,andscalability.
• Presentmodelperformance,businessimpact,andrecommendationstoexecutivestakeholders.

PeopleManagement

• MentorandcoachbothseniorandjuniorDataScientists.
• Createdevelopmentplansthatalignindividualcareergoalswithorganizationalpriorities.
• Leadworkforceplanning,capabilitybuilding,andteamengagementinitiatives.
• Driveorganizationalimprovementsthatstrengthenteameffectivenessandbusinessoutcomes.

REQUIREDQUALIFICATIONS

• Bachelor'sdegreeinStatistics,ComputerScience,Mathematics,DataScience,Engineering,orarelatedquantitativediscipline.
• Atleast7+yearsofexperienceinDataScience,MachineLearning,orAIincludingthedevelopmentanddeploymentofproduction-gradesolutions.
• Atleast3+yearsofpeopleleadershipexperiencemanaginganddevelopinghigh-performingDataScienceteams.
• Provenexperiencebuildinganddeployingclustering,propensity,recommendation,classification,andpredictivemodels.
• Experiencesupportingmarketing,growth,CRM,lifecycle,personalization,orcustomeranalyticsinitiatives.
• ExperiencepartneringwithProduct,Marketing,Growth,andEngineeringstakeholders.
• ExperiencewithMarketingPlatforms,CustomerDataPlatforms(CDPs),CampaignManagementSystems,orcustomerengagementplatformsishighlypreferred.
• Experiencewithinfintech,banking,digitalfinancialservices,orlarge-scaleconsumertechnologycompaniesishighlypreferred.
• Productscaling,experimentation,andgrowthanalyticsexperienceisaplus.
• ResearchanddevelopmentexperienceinemergingAItechnologiesisaplus.

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/