Partner with marketing leaders and stakeholders to understand business objectives, marketing channels, data sources, measurement constraints, and strategic priorities.
Translate marketing needs into relevant measurement science solutions, evaluating multiple methodological approaches and communicating trade-offs between attribution models, incrementality testing, and causal inference methods.
Design and implement advanced attribution methodologies (multi-touch, algorithmic, and rule-based models) to accurately measure campaign contribution across paid channels and customer touchpoints.
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Partner with product, design, and engineering teams to obtain insights, design experiments, and lead important product decisions.
Support strategic plans with data insights, performing deep-dives into user behavior, segmented views and product efficacy.
Provide tailored analysis for specific products and strategies, define critical business and product metrics, and make regular recommendations for continuous improvements.
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Engage with business users and stakeholders to thoroughly understand their reporting needs, data-related challenges, and support analysis (engineering).
Must be able to establish communications and support end users.
Analyse existing processes, data sources, and reporting solutions to identify areas forenhancement and provide well-considered recommendations for improvement.
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Scope Definition & Task Breakdown: Work within contracted project scope and further divide it into detailed tasks and milestones to ensure clear deliverables and realistic timelines.
Project Planning & Execution: Create comprehensive project plans with defined tasks, timelines, and dependencies; coordinate execution and ensure adherence to project schedules.
Team Leadership & Coordination: Lead and manage project teams consisting of data engineers, data scientists, analysts, and other technical personnel; facilitate collaboration across cross-functional teams and ensure clear communication of tasks and expectations.
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Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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You will partner with teams to architect scalable data science solutions that translate complex operational challenges into strategic wins, integrating both traditional ML and agentic LLM systems.
You will conduct cutting-edge research to incorporate the latest advancements in algorithms and generative AI into our defense systems to actively counter emerging fraud tactics.
You will master data orchestration by preparing, augmenting, and combining diverse data types to build high-fidelity training datasets, including using LLMs to generate synthetic data and labels.
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Experience: Minimum 2–3 years of proven experience in hotel sales, revenue management, or OTA channel management within the hospitality/property industry.
Network: Established relationships with OTA Market Managers in the Malaysian hospitality sector is highly advantageous.
Technical Skills: Experience using Channel Managers, Property Management Systems (PMS), and analytics tools. Strong proficiency in Microsoft Excel / Google Sheets.
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Lamarsa Coffee Machine Company (Lamarsa), based in Petaling Jaya, Selangor, is hiring a Brand Marketing Manager to lead and execute the company's overall marketing strategy to drive brand growth, customer engagement and sales. The role will lead a small in-house marketing team, collaborate with internal teams, external agencies and brand partners, and manage planning, review and execution of integrated campaigns across digital, retail and offline channels.
Build and lead the project delivery function: hire, mentor, and manage project managers; set delivery standards, playbooks, and KPIs.
Own portfolio-level delivery — timelines, budgets, quality — across all concurrent AI Vision, system integration, and enterprise deployment projects.
Personally lead the largest, most complex programs: CCTV / video surveillance rollouts, multi-site on-premise server and software deployments, and agentic AI initiatives (multi-agent orchestration systems, natural-language query layers over real-time vision event data, LLM tool-use and automation).
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