{"id":199349,"url":"https://alion.io/job/grab-lead-data-scientist-analytics-digital-marketing","title":"Lead Data Scientist (Analytics) - Digital Marketing","company":{"id":158,"name":"Grab","domain":"grab.com","url":"https://alion.io/company/grab","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":47,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-23T05:54:15Z"}},"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":["Petaling Jaya, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":46000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":709},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-04T04:22:00Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-23T17:57:08Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"About Grab and Our Workplace\nGrab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.\n Get to Know the Team\nThe Growth Data Science team is a key component of our regional growth strategy. We focus on creating and implementing innovative approaches to drive growth through performance marketing automation, machine learning models, geospatial insights, user lifecycle and funnel optimisation, behavioural forecasting, and other advanced analytics methods. Our work spans across transportation, food, fintech, logistics, and platform services.\nGet to Know the Role\nWe are seeking a experienced and versatile Manager, Growth Data Science - Digital Marketing with deep expertise in paid marketing measurement, AI-driven analytics, and operations to join our growing team. In this role, you'll collaborate with marketing leaders, analytics teams, and cross-functional stakeholders to solve complex digital marketing challenges using advanced measurement science, artificial intelligence, and data-driven approaches. You'll work on end-to-end paid marketing analytics initiatives, with opportunities to design and implement sophisticated attribution models, incrementality studies, media mix modeling (MMM), causal inference methodologies, and AI-powered tools that enhance reporting, measurement, and experimentation capabilities.\nYou will directly report to the Senior Manager, you will be based working onsite.\nThe Critical Tasks You Will Perform\nPaid Marketing Measurement & Analytics\nPartner with marketing leaders and stakeholders to understand business objectives, marketing channels, data sources, measurement constraints, and strategic priorities.\nTranslate marketing needs into relevant measurement science solutions, evaluating multiple methodological approaches and communicating trade-offs between attribution models, incrementality testing, and causal inference methods.\nDesign and implement advanced attribution methodologies (multi-touch, algorithmic, and rule-based models) to accurately measure campaign contribution across paid channels and customer touchpoints.\nDevelop and execute incrementality measurement studies to isolate true campaign impact, including A/B testing, holdout analysis, and matched market approaches for paid marketing campaigns.\nBuild and maintain Media Mix Modeling (MMM) frameworks to quantify the impact of paid marketing spend across channels, optimize budget allocation, and forecast campaign performance.\nDesign and conduct geo-lift studies to measure causal impact of paid marketing initiatives at regional or market levels, supporting strategic decision-making and ROI validation.\nConduct rigorous A/B tests and multivariate tests to improve paid campaign performance, measure incremental lift, and increase conversion rates and customer acquisition efficiency.\nCollaborate with stakeholders to align on measurement methodology, success metrics, deliverables, and project roadmaps for all paid marketing analytics projects.\nAI & Automation for Marketing Intelligence\nLeverage advanced AI and machine learning tools to automate reporting workflows, generate real-time marketing insights, and accelerate decision-making across paid marketing channels.\nDesign and build AI-powered measurement and attribution tools that enhance the speed and accuracy of campaign performance analysis, reducing manual effort and improving stakeholder accessibility to insights.\nImplement machine learning models and algorithms to optimize campaign targeting, budget allocation, and bid strategies, translating AI predictions into actionable marketing recommendations.\nDevelop AI-driven experimentation frameworks that automate test design, statistical analysis, and result interpretation, enabling faster iteration and more sophisticated measurement of marketing impact.\nData Engineering & Operations\nDevelop and manage detailed project plans including milestones, risks, owners, and contingency plans for measurement science projects.\nCreate and maintain efficient data pipelines using SQL, Spark, and cloud-based big data technologies. These pipelines ingest, process, and integrate paid marketing data from ad platforms, conversion tracking systems, and internal data sources.\nCollect, clean, and integrate large datasets from multiple marketing channels (paid search, social, display, video) and attribution platforms to support measurement requirements.\nBuild analytics tools and dashboards that deliver applicable insights on campaign performance, channel effectiveness, customer acquisition costs, and marketing ROI.\nPerform exploratory data analysis, statistical modeling, and causal inference analysis to uncover insights and inform strategic marketing decisions.\nTrain, validate, and tune measurement models using modern statistical and machine learning techniques, ensuring model accuracy and business applicability.\nDocument measurement methodologies, model results, and findings in clear, team member-ready formats and support implementation of insights within marketing operations.\nStakeholder Collaboration & Leadership\nLead cross-functional collaboration between marketing, analytics, product, and data engineering teams to ensure measurement frameworks align with business objectives.\nCommunicate complex measurement science concepts, AI capabilities, and statistical findings to non-technical stakeholders, translating results into applicable marketing recommendations.\nMentor junior analysts and data scientists on measurement methodologies, AI-driven analytics best practices, paid marketing analytics, and causal inference techniques.\n W What Essential Skills You Will Need\n5+ years of hands-on experience in data science and analytics, with at least 3+ years specifically focused on paid marketing measurement and operations\nDemonstrated expertise in attribution modeling methodologies (multi-touch, algorithmic, rule-based approaches)\nProven experience designing and executing incrementality studies, A/B tests, and holdout analyses for paid marketing campaigns\nStrong background in Media Mix Modeling (MMM) or marketing mix optimization\nExperience designing and conducting geo-lift studies or other geographically-based causal inference studies\nFamiliarity with causal Hands-on experience building and deploying machine learning models for marketing applications, including model optimization and performance tuning\nProficiency in Python, SQL, and tools like Pandas, Scikit-learn, and Spark\nWorking knowledge of cloud data platforms (e.g., AWS S3, Redshift) for managing large-scale marketing datasets\nExperience with marketing data sources and ad platform APIs (Google Ads, Facebook Ads, etc.)\nManage data pipelines and ETL processes with a solid understanding of data engineering best practices\nFamiliarity with statistical software or packages for causal inference (e.g., CausalML, DoWhy, EconML)\nFamiliarity with generative AI tools and large language models (LLMs) for automating insights generation and reporting\n Life at Grab\nWe care about your well-being at Grab, here are some of the global benefits we offer:\nWe have your back with Term Life Insurance and comprehensive Medical Insurance.\nWith GrabFlex, create a benefits package that suits your needs and aspirations.\nCelebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave\nWe have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.\nBalancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours\nWhat We Stand For At Grab\nWe are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.","description_format":"text","description_chars":8435,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Health insurance","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Delivery","Ride Hailing","Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-09-04T04:54:49Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.497,"p_room":0.36,"age_days":49,"expected_fill_days":29,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/grab-lead-data-scientist-analytics-digital-marketing","json_url":"https://alion.io/job/grab-lead-data-scientist-analytics-digital-marketing.json","meta":{"generated_at":"2026-10-23T21:32:14Z","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":3716,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":158},"rest":"https://alion.io/mcp/rest/get_company?id=158"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgrab-lead-data-scientist-analytics-digital-marketing"},{"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%2Fgrab-lead-data-scientist-analytics-digital-marketing"},{"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%2Fgrab-lead-data-scientist-analytics-digital-marketing"},{"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/grab-lead-data-scientist-analytics-digital-marketing\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgrab-lead-data-scientist-analytics-digital-marketing"}]}