Analyze large-scale consumer and marketing data using SQL and Python to generate audience segments, attribution insights, and purchase-driver analysis. Build AI and ML solutions, automate analytics pipelines with agents and workflows, create classification models and AI-generated dashboards, and maintain deployments on Google Cloud. Collaborate with strategy, marketing, product, technology, and external agency stakeholders across Southeast Asian and Oceania markets.
Position Summary
As part of the Regional Marketing Team of Southeast Asia and Oceania (SEAO) headquarters, you’ll work on AI and data analytics initiatives while reporting directly to the Data Science & AI Lead.In this role, you will turn large-scale first-party consumer data into actionable insights that help drive continuous improvement in business metrics across Samsung smartphone and consumer electronics categories. You’ll build BI, AI, and ML solutions using vibe coding and automate the end-to-end data analytics pipeline using AI Agents or Workflows. You’ll partner closely with the Strategy team to deliver faster insights and support quicker decisions.
This role suits someone who is passionate about AI and eager to deepen practical data skills in a fast-moving environment. You’ll have room to experiment with new AI tools and take ownership in growing the team’s data & AI capabilities.
Role and Responsibilities
Marketing Data Analytics & Insights
- Analyze marketing and consumer data on Samsung’s internal big data platform using SQL and Python
- Joint analysis of multiple data sources to support Strategy team decisions
- Generate audience segments to support targeting and campaign planning
- Apply attribution and propensity analysis to understand consumer engagement patterns and purchase drivers
- Identify high-potential audiences across eight SEAO markets
AI Automation & Advanced Analytics
- Build structured datasets from unstructured data using AI
- Automate recurring analytics and reporting with AI workflows or agents
- Develop text and image classification models, with AI tooling to speed up development
- Build AI-generated dashboards that help non-technical stakeholders to visualize data insights
- Be an early adopter of internal AI tools, making full use of tools to speed up data analysis
- Maintain the end-to-end AI pipeline and deployments on Google Cloud Platform
Skills and Qualifications
Skills Requirement
- AI tooling: Experience deploying AI solutions, build workflows or agents
- Programming skills: Advanced SQL and Python; comfortable with command line
- Large-scale consumer data: Hands-on experience working with customer data at scale (millions of rows)
- Cloud: Working knowledge of GCP, AWS, or Azure — GCP preferred; able to debug and troubleshoot cloud issues independently
- Stakeholder Collaboration: Able to work with tech, marketing, product, and external agencies to deliver data projects on time
Qualifications
- Bachelor’s degree required; Master’s in Analytics, Data Science, or AI is a plus
- 2-5 years of experience in data analytics, data science, or applied AI, preferably in a consumer-facing company
- Proactiveness: takes initiative on analysis, automation, and continuous improvement without waiting for direction
- Curious and adaptive: stays current with emerging AI tools and puts them to practical use
- Strong analytical thinking, data sensitivity, and ability to solve problems independently
- Takes pride in high-quality work, with strong attention to detail and accountable follow-through
- Marketing, CRM, or consumer products experience is a plus
* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Manage strategic supplier relationships, category sourcing, RFx processes, contract negotiations, supplier performance, cost optimization, risk mitigation, and procurement compliance. Partner with cross-functional and global teams while using analytics, digital tools, and AI technologies to improve procurement efficiency and decision-making. Support budgeting, CAPEX planning, savings tracking, supplier audits, and continuous improvement initiatives.
Top Skills:
Artificial IntelligenceAutomationData AnalyticsDigital Transformation
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Supports a semiconductor test engineering project focused on improving burn-in equipment availability and Parts per Jam. Responsibilities include structuring alarm data, analyzing downtime patterns, developing predictive analytics, creating automated notifications and visualizations, validating trigger logic, and evaluating socket-masking and Agentic AI solutions. The intern will use Python, SQL, Power BI, and Power Automate while learning semiconductor test processes and equipment monitoring.
Top Skills:
Agentic AiGenerative AiMicrosoft CopilotMicrosoft Power AutomateMicrosoft Power BiPythonStructured Query Language
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Designs, plans, costs, and integrates wired and wireless network, voice, data, and video infrastructure for new and existing sites. Provides operational support, equipment configuration, monitoring, troubleshooting, lifecycle management, vendor coordination, documentation, and business communication. Collaborates with global network, security, server, and architecture teams. Also develops AI- and automation-enabled solutions for provisioning, compliance, incident response, telemetry analysis, and network performance optimization.
Top Skills:
Ai/MlData InfrastructureDhcpDnsFirewallsGenerative AiLoad BalancersNetwork AutomationNetwork Monitoring ToolsPythonRoutersServersSwitchesVideo InfrastructureVoice InfrastructureWired NetworkingWireless Networking
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
