{"id":1904916,"url":"https://alion.io/job/maya-lead-data-science-2","title":"Lead - Data Science","company":{"id":50036,"name":"Maya","domain":"maya.ph","url":"https://alion.io/company/maya-ph","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":60000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":614},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2026-10-05T12:31:38Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-12T19:23:43Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Overview:\nWe 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.\nThe 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.\nWhat you will do:\nLead the development and deployment of AI, machine learning, and advanced analytics solutions that drive customer acquisition, engagement, retention, personalization, and business growth.\nPartner with business leaders and cross-functional stakeholders to translate complex business challenges into scalable data science solutions, technical roadmaps, and measurable business outcomes.\nDesign 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.\nEstablish and maintain high standards for model development, experimentation, validation, explainability, governance, monitoring, and scalability to ensure reliable production-grade AI solutions.\nCollaborate 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.\nChampion innovation by driving the adoption of emerging AI technologies, advanced analytics methodologies, experimentation frameworks, and best practices across the organization.\nPresent insights, model performance, and strategic recommendations to senior leadership, demonstrating the business impact of AI and machine learning initiatives.\nMentor and develop a high-performing Data Science team through coaching, capability building, workforce planning, and fostering a culture of technical excellence and continuous learning.\nWhat we are looking for:\nBachelor's degree in Statistics, Computer Science, Mathematics, Data Science, Engineering, or a related quantitative discipline.\nAt least 7+ years of experience in Data Science, Machine Learning, or AI, including the development and deployment of production-grade solutions.\nAt least 3+ years of people leadership experience managing and developing high-performing Data Science teams.\nProven experience building and deploying clustering, propensity, recommendation, classification, and predictive models.\nExperience supporting marketing, growth, CRM, lifecycle, personalization, or customer analytics initiatives.\nExperience partnering with Product, Marketing, Growth, and Engineering stakeholders.\nExperience with Marketing Platforms, Customer Data Platforms (CDPs), Campaign Management Systems, or customer engagement platforms is highly preferred.\nExperience within fintech, banking, digital financial services, or large-scale consumer technology companies is highly preferred.\nProduct scaling, experimentation, and growth analytics experience is a plus.\nResearch and development experience in emerging AI technologies is a 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