{"id":173503,"url":"https://alion.io/job/chanel-data-science-and-ai-engineer-seaa","title":"Lead Data Scientist, Applied AI, SEAA","company":{"id":3129,"name":"CHANEL","domain":"chanel.com","url":"https://alion.io/company/chanel","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":176,"ghost_share":0,"stale_share":0.926,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":101000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":662},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Hallucination","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-06-15T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-15T06:58:24Z","board_verified":true,"closed_at":null,"days_open":122,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":122},"description":"At Chanel SEAA, we aim to leverage data to power sustainable growth, improve business performance and elevate luxury client experiences across the region.\nWhy This Mission:\nCHANEL SEAA is accelerating its data roadmap to expand from business intelligence towards decision intelligence: moving beyond reporting what happened to diagnosing issues, anticipating change and enabling confident, timely action for the brand, clients and business.\nThe Lead Data Scientist, Applied AI is SEAA’s senior technical authority for data science, machine learning and applied AI. The role turns complex business opportunities into analytically rigorous, scalable and responsible intelligence products that strengthen client understanding, business performance, foresight, judgement and action. This is a player-coach role for someone who combines deep technical credibility with commercial judgement, remains hands-on in priority work, and can influence how leaders understand and act on evidence.\nWorking across Southeast Asia and Australia, the role partners with business leaders, Insight & Foresight, Data Platform and Engineering, Data Products and Stewardship, Data & AI Enablement, Technology, Global teams and specialist partners. The role adapts its approach to different market contexts and levels of data maturity, while developing solutions that can scale across the region.\nImpact You Can Create In The Role:\nLead the Data Science and Applied AI Practice\nSet technical direction, standards and leading practices across data science, machine learning, GenAI and agentic AI \nRemain hands-on in priority work through problem framing, exploratory analysis, methodological design, prototyping, and code or model review \nGuide practitioners and partners, uphold technical quality, transfer knowledge and help shape the future regional data science and applied AI capability \nTurn Questions into Decision Intelligence\nPartner with business leaders to identify the decisions that matter and define the expected client, boutique, brand, operational or financial value \nChoose the simplest robust method, challenging whether AI is the right response \nConnect internal client and business evidence with external market, cultural and industry signals in partnership with Insight & Foresight \nSynthesise evidence into clear implications, uncertainties, trade-offs and recommended action \nBuild and Scale Advanced Analytics and Applied AI\nLead the design and validation of statistical, machine-learning, GenAI and agentic solutions for priority use case \nEstablish rigorous baselines, evaluation methods, assumptions and limitations \nWork with engineering and Technology teams to productionise, monitor and improve solutions on governed, scalable foundations \nCreate reusable methods, assets and AI components that accelerate delivery and reduce duplication \nDrive Adoption and Organisational Shift\nTurn complex analysis into compelling, decision-focused stories for executive, market and functional audiences \nChampion the shift from retrospective reporting towards diagnosis, foresight, judgement and proactive action \nEmbed intelligence into business rhythms and use adoption, feedback and outcomes to improve, scale, pause or retire solutions \nResponsible AI and Continuous Improvement:\nEnsure AI and data science solutions are developed and used responsibly, with appropriate attention to data privacy, explainability, model risk, security and governance \nStay close to emerging data science, GenAI and AI capabilities, assess relevance for Chanel use cases and continuously improve methods, components and delivery practices \nThe Profile We Are Looking For\nStrong technical judgement, with the depth to challenge methods and identify weak assumptions \nA hands-on mindset, with the willingness to work directly on priority use cases \nCommercial and brand judgement, focused on decisions that matter for clients, boutiques and business performance \nClear and influential communication, turning complex evidence into a point of view and recommended action \nA collaborative leadership style, raising the capability of colleagues and partners rather than becoming the sole expert \nYour Success Measures\nBusiness and Brand Value: Priority solutions improve decision quality, client experience, growth, operational effectiveness or productivity \nAdoption and Decision Impact: Trusted intelligence is embedded in relevant business routines, products and workflow \nAnalytical Quality and Reliability: Solutions meet agreed standards for validity, performance, explainability, usability and documentation \nSpeed to Value and Reuse: Reusable methods, assets and components accelerate future delivery \nCapability Maturity: Practitioners and partners demonstrate stronger technical practice and increasing independence \nResponsible AI: Solutions operate with appropriate oversight and controls, with no critical privacy, security or misuse incidents \nOrganisational Shift: Leaders increasingly connect internal and external intelligence and move from reporting towards foresight, judgement and action \nYou are Energised by\nHelping shape the future of an iconic House, using data and AI to strengthen CHANEL’s singularity and enduring desirability \nDeepening our understanding of clients, uncovering human truths and emerging possibilities that enable CHANEL to create meaningful, memorable experiences \nTurning intelligence into imagination and action, helping the organisation see what others do not and make choices that set the standard for luxury \nPioneering responsible applications of AI, bringing together scientific rigour, creativity and human judgement in a way that feels distinctly CHANEL \nBuilding a capability people are proud to create together, inspiring confidence, curiosity and new ways of thinking across the region \nWhat You Will Bring: Capability Requirements\nData Science and Applied AI\nAt least 7 years of experience in data science and machine learning, including recent hands-on delivery of complex analytical solutions. Practical experience applying GenAI or agentic AI in enterprise settings is strongly preferred \nDeep practical expertise in statistical modelling, machine learning, experimentation and model evaluation, with expert Python proficiency \nHands-on experience with enterprise GenAI, including RAG, embeddings, vector search, semantic search and agentic workflows \nRecent direct contribution to data-science or applied-AI work, not only programme sponsorship, vendor oversight or people management \nTechnical Leadership and Production Fluency\nExperience setting standards, reviewing technical work, mentoring practitioners and guiding partner delivery teams \nUnderstanding of cloud AI and machine-learning platforms, model lifecycle and MLOps/LLMOps \nAbility to partner with engineering teams on deployment, monitoring and lifecycle management without duplicating platform ownership \nBusiness Problem Framing and Influence\nWork with business and product partners to translate priority business questions into clear data-science and AI problems \nRecommend the right analytical or AI approach, based on value, feasibility and technical rigour \nExplain technical choices, assumptions, limitations and results clearly to non-technical stakeholders \nInfluence decisions through evidence and technical judgement, without taking ownership of business strategy or insight generation \nPartner with Insight & Foresight on external signals, and with Data & AI Enablement on adoption and change \nResponsible AI and Learning Agility\nStrong understanding of privacy, security, explainability, bias, hallucination risk, human oversight and proportionate governance \nDisciplined curiosity to assess fast-evolving capabilities and convert relevant advances into practical, governed solutions \nAt Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to Chanel.","description_format":"text","description_chars":8159,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cosmetics & Makeup","Jewelry","Fragrances & Perfumes","Skincare"],"lifecycle":[{"event":"open","at":"2026-08-30T04:09:31Z"},{"event":"close","at":"2026-09-14T17:32:47Z"},{"event":"reopen","at":"2026-09-30T03:53:47Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.401,"p_room":0.28,"age_days":122,"expected_fill_days":36,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/chanel-data-science-and-ai-engineer-seaa","json_url":"https://alion.io/job/chanel-data-science-and-ai-engineer-seaa.json","meta":{"generated_at":"2026-10-15T10:44:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":16308,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3129},"rest":"https://alion.io/mcp/rest/get_company?id=3129"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fchanel-data-science-and-ai-engineer-seaa"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fchanel-data-science-and-ai-engineer-seaa"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fchanel-data-science-and-ai-engineer-seaa"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/chanel-data-science-and-ai-engineer-seaa\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fchanel-data-science-and-ai-engineer-seaa"}]}