What Jobs are available for Data Team in Thailand?

Who are we?

Whiteline Group is a dynamic organization at the forefront of innovation and growth. We provide end-to-end marketing solutions. Our business covers brand activation, retail media, retail execution, publishing, business consultancy and technology solutions. With a team of more than 300 talented and dedicated staff, our organization has grown quickly. As part of our journey, we are preparing for an Initial Public Offering (IPO). Now we are seeking new talent partners for growing together.

How will you make an impact?

You will lead our data, product, and technology teams to deliver insights, platforms, and digital solutions that move the business forward. From analytics and engineering to product ownership and project management, you'll make sure every initiative is aligned with strategy, supported by strong teams, and creates real business value.

What you will do?

• Lead the PM team as the key link between business units and technology teams
• Oversee product ownership for in-house platforms, ensuring clear vision, roadmap, and adoption
• Guide the data analytics team to deliver dashboards, reporting, and insights that drive action
• Manage the data engineering team in building pipelines, warehouses, and integrations across systems
• Provide reliable application support and coordinate with vendors for smooth delivery
• Develop and coach team members, build capability, and foster innovation
• Own budgets and allocate resources effectively across vendors, infra, and development
• Sponsor innovation projects in AI, automation, and emerging technologies

What you will need?

• Bachelor's degree in Computer Science, Engineering, Data/IT, Statistics, or related field (Master's is a plus)
• 7–10 years of experience in data analytics, BI, or data engineering with strong hands-on expertise
• Proven track record in leading projects and mentoring teams, with readiness for broader leadership
• Experience in product ownership or application support is an advantage
• Skilled in vendor and external partner management
• Strong ambition to grow into a strategic leadership role
• Proficiency in BI/analytics tools (Power BI, Tableau, SQL) and familiarity with data engineering concepts
• Knowledge of Python/R and awareness of AI/automation is a plus
• Excellent communication, stakeholder management, and team coaching skills

What will you get?

• Flexible working hours
• Snack bar and ice cream
• Massage service
• Cars & Motorcycle parking allowance (50% support by the company)
• Medical allowance and Dental allowance
• Annual health check
• Mental health service
• Annual salary adjustment & bonus (based on performance)
• Company outing
• Annual leave days (up to 15 days)
• Special leave day (marriage, anniversary)

Work Location
: Thanapoom Tower Near BTS Nana, MRT Petchaburi.

Dare to cross the Whiteline

Imagine
leading a multicultural cross-functional team of data engineers and collaborate closely with product managers, architects, and global stakeholders. You will play a pivotal role in building and scaling high-quality, cloud-native data products on our global cloud-based data platform, driving data-driven business transformation across Pandora
– the world's largest jewellery brand.

Your mission is to ensure excellence in engineering practices, delivery of reliable and scalable data solutions, and nurturing of a high-performing, innovative team. This is a leadership role with a strong technical foundation.

We love that you will…

• Lead, mentor, and develop a team of skilled data engineers working on the Azure PaaS stack.
• Foster a collaborative, inclusive, and high-performance culture within the team.
• Support career growth through coaching, performance reviews, and development plans.
• Collaborate with architects, product managers, and other stakeholders to design and deliver scalable data solutions and analytics products.
• Ensure timely delivery of data products aligned with business goals and technical standards.
• Drive best practices in data engineering, including CI/CD, testing, data modelling, and engineering quality.
• Drive the modernization journey from IaaS to Azure PaaS using technologies like ADF, Data Lake, Synapse, Databricks, and Analysis Services.
• Contribute to architectural decisions and long-term platform evolution, supporting use cases across analytics, AI, and reporting.
• Promote innovation by exploring new tools, frameworks, and practices to improve data product development.
• Balance technical debt and feature development, ensuring scalability and maintainability.

We love that you are…

• Bachelor's or master's degree in computer science, Data Engineering, or a related field.
• 7+ years of experience in data engineering roles with increasing responsibility.
• 3+ years in a technical leadership or engineering management role.
• Deep expertise in Azure Data Services (Databricks, Data Factory, Data Lake, Synapse).
• Strong understanding of data architecture, data modelling, and warehousing concepts.
• Experience within SQL, PySpark, and Python
• Hands-on experience with CI/CD and DevOps,
• Familiarity with containerization and streaming technologies is a bonus.
• Strong understanding of modern data governance, quality, and observability practices.
• Excellent stakeholder communication and relationship management skills.
• Comfortable working in a virtual, multicultural, and agile environment.

Welcome to our Crafting & Supply
The magic happens at our crafting facilities, where we combine centuries-old crafting traditions and high-quality materials with modern production techniques. You will be warmly greeted with over 13,000 craftspeople who are excellent at crafting and supplying the world's largest jewellery brand with our craftsmanship. You will be part of a team of D&A Management people and report to VP, Data & Analytics.

Join a team that is as diverse and inclusive as our jewellery. We believe and value creative thinking and ensure that there's equitable opportunities for all.

• Foster your growth and craft opportunities through our learning and development programmes.
• At Pandora, no effort or contribution goes unnoticed. We offer a wide range of opportunities and benefits to ensure that our employees feel valued, supported, and cared for.
• Transportation services are also available to drop you at the closet BTS station and other community areas.

About Pandora Crafting & Supply
Pandora started crafting its jewellery in Thailand in 1989, where our founders fell in love with the delicate craftsmanship of the Thai people. To date, there are two crafting facilities in Thailand, Bangkok, and Lamphun, and we employ more than 13,000 skilled craftspeople. By the end of 2024, there are 113 million pieces sold globally, all of which were hand-finished here in Thailand by our skilled craftspeople using high-quality raw materials and sustainable methods.

About Pandora Group
Pandora is the world's largest jewellery brand. Designed in Denmark and crafted in Thailand, Pandora jewellery provides endless opportunities for personalisation, allowing people to express their passions and show who they are. The company's products are made from high-quality materials and sold in more than 100 countries through 6,785 points of sale, including 2,788 concept stores.

Pandora is committed to leadership in sustainability and is sourcing lab-grown stones and recycled silver and gold for all its jewellery. Headquartered in Copenhagen, Denmark, Pandora employs 37,000 people worldwide, is listed on the Nasdaq Copenhagen stock exchange, and generated sales of DKK 31.7 billion (EUR 4.25 billion) in 2024.

We are seeking a proactive and technically adept
Data Engineering & BI Developer Manager
to lead the design, development, and oversight of our organization's business intelligence systems, data pipelines, and automation infrastructure. This role plays a critical part in enabling data-driven decision-making by building centralized dashboards, integrating multiple digital platforms (e.g., Facebook, Google, TikTok), and streamlining data workflows. The ideal candidate will have a strong foundation in data architecture and a working knowledge of machine learning concepts, while also serving as a bridge between regional and global teams to foster knowledge sharing and best practices.

Responsibilities

• Lead the design, development, and continuous improvement of BI dashboards and reporting systems to support cross-departmental decision-making.
• Translate complex business requirements into scalable, actionable data visualizations using tools like Looker Studio, Tableau, and Power BI.
• Collaborate with business units to define KPIs and ensure reporting aligns with organizational goals.
• Champion a data-driven culture by democratizing access to high-quality insights.
• Manage the integration of digital data sources and build custom or native connectors to platforms including: Facebook Ads, Google Ads / Google Analytics, TikTok Ads, Google Sheets and other internal/external platforms
• Ensure data ingestion pipelines are secure, scalable, and optimized for automated refreshes.
• Design and implement automation solutions to eliminate manual data processes using Python, Google Apps Script, and orchestration tools (e.g., Apache Airflow).
• Apply strong understanding of data modeling and architecture to maintain a clean, efficient, and scalable data infrastructure.
• Actively collaborate with regional and global BI/data teams to align on architecture, tools, and methodologies.

Qualifications

• Proven expertise in BI tools such as Looker Studio, Tableau, and Power BI.
• Proficiency in SQL and Python; experience with Google Apps Script is a plus.
• Hands-on experience with building and managing data connectors (via APIs or platform-native integrations).
• Strong knowledge of digital marketing data sources and performance metrics.
• Familiarity with ETL/ELT tools and workflow orchestrators (e.g., Google Data Transfer Services, Apache Airflow).
• Experience working with cloud data warehouses such as Google BigQuery, and Snowflake.
• Understanding of core machine learning concepts and data preparation best practices.
• Exposure to automating processes within the Google Workspace ecosystem (e.g., Google Sheets automation).

Overview:

Data scientists are specialists who turn raw data into valuable insights and actionable decision. They use their analytical skills, programming skills, statistical expertise, and knowledge of machine learning to build advance analytics data product that help the company make better decisions, improve products, and understand customers.

Detailed Responsibilities:

 Analyze complex data sets using statistical methods and machine learning algorithms to uncover actionable patterns, trends, and insights that drive business outcomes.

Clean, preprocess, and transform raw data into usable formats for analysis and modeling.

uild predictive and optimization models to support strategic decision-making and improve operational efficiency.

esign and execute scientific experiments, including measurement and validation of analytical models.

evelop compelling data visualizations and dashboards to communicate findings effectively to stakeholders at all levels.

resent insights and recommendations clearly to both technical and non-technical audiences, ensuring alignment with business objectives.

ollaborate closely with cross-functional teams to translate data-driven insights into actionable business strategies.

reate comprehensive reports, presentations, and storytelling materials to document analyses and support organizational learning.

ducate and support stakeholders in understanding advanced analytics techniques and their applications within the manufacturing context.

aintain key artefacts such as sprint backlogs, experiment logs, data sets, notebooks, model artifacts, visualizations, and research documentation in alignment with Agile methodologies.

Skill Requirements

achelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.

t least 5+ Yrs proven experience as a Data Scientist, Data Analyst, or in a similar analytical role, preferably within a manufacturing or industrial environment.

trong expertise in statistical analysis, data mining, and machine learning techniques.

roficiency in programming languages such as Python or R, and experience with data science libraries and frameworks.

ands-on experience with data cleaning, preprocessing, and feature engineering.

dvanced skills in data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) to present complex findings effectively.

olid understanding of experiment design and scientific measurement methodologies.

xcellent communication skills, with the ability to explain complex concepts to diverse

xperience working in Agile environments and familiarity with Agile practices.

Other Requirements:

xperience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is advantageous.

elevant industry certifications in data science, machine learning, or analytics are a plus.

nowledge of manufacturing processes and operational excellence frameworks will be highly regarded.

emonstrated ability to work effectively in multicultural and geographically dispersed teams.

Work Set-up: Hybrid (1-day WFH)

Onsite Location: Soi Sukhapiban, Dokmai, Bangkok

Cathcart Technology is partnering with a global leader in advanced manufacturing solutions to hire a Data Science Manager. This is a fantastic opportunity to build and lead a new Data Science team that will drive predictive quality, yield optimization, and defect reduction across large-scale production operations.

What you'll do

• Lead the development of advanced statistical models & predictive analytics to enhance manufacturing quality and efficiency.
• Apply DOE, RSM, SPC, and machine learning methods to prevent defects and optimize processes.
• Collaborate with engineering and operations teams to translate complex data science into real-world impact.
• Build, mentor, and manage a high-performing team of 4–5 data scientists and analysts.
• Define and execute the long-term data science strategy for manufacturing excellence.

What they're looking for

• 5+ years' experience in data analytics, statistical modelling, or applied data science.
• Proven leadership and team management experience.
• Advanced knowledge of multivariate analysis, Bayesian methods, hypothesis testing, and experimental design.
• Strong programming skills in Python/R and SQL, plus hands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Proficiency with statistical tools such as JMP or Minitab.
• Excellent communication skills and ability to work with cross-functional teams.
• Good English (spoken and written).

Why apply to this opportunity

This role puts you at the centre of transforming how data science powers world-class manufacturing quality. You'll have the chance to:

• Build and shape a new data science team.
• Work directly with global engineering leaders.
• Deliver cutting-edge, impactful solutions at scale.

Please apply now or contact Dollada (Toon) at for a confidential discussion.

Responsibilities

• Identify valuable data sources and automate data collection processes
• Collect, clean, and validate structured and unstructured data from multiple internal and external systems
• Extract, transform, and engineer features from diverse data sources (ERP, IoT, finance, external datasets)
• Analyze large datasets to uncover trends, patterns, and actionable insights
• Design, build, and deploy predictive models, machine learning algorithms, and AI-driven solutions
• Improve performance through feature engineering, optimization, and ensemble modeling
• Monitor model accuracy, fairness, and drift; retrain and recalibrate as needed
• Present findings using effective data visualization techniques to support decision-making
• Propose data-driven solutions and strategies to address complex business challenges
• Collaborate closely with IT, engineering, and product development teams to integrate solutions into business operations

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field
• Strong programming skills in Python, R, and SQL
• Knowledge of Machine Learning, Data Mining, and Data Visualization
• Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn)
• Experience in data mining
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Problem-solving skills
• Strong communication and collaboration abilities

Company Description
At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital, WD, WD_BLACK, and SanDisk Professional brands.

We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

Today's exceptional challenges require your unique skills. Together, we can build the future of data storage.

Job Description
ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Collaborate with cross-functional teams to develop high-impact data science solutions that improve productivity and operations metrics
• Analyze large-scale data and develop machine learning/AI models to drive business value and improve KPIs
• Design, prototype, and implement machine learning models and algorithms to solve specific Manufacturing problems
• Researching and developing scalable computer vision and machine learning solutions for complex problems
• Create and maintain web applications to support data science initiatives and facilitate data-driven decision making
• Interpret actionable insights from data and metadata sources, communicating findings to stakeholders for product improvement
• Prepare and deliver presentations with data visualizations and business conclusions

Qualifications
REQUIRED:

• Bachelor's degree in Computer Engineering, Software Engineering, Data Science, and Robotics & AI Engineering with relevant industry or academic experience in data analytics
• Proficiency in SQL, Big Data platforms, and cloud services (e.g., AWS)
• Strong background in applied statistics, statistical modeling, and practical experience with ML and AI algorithms.
• Required: Python, Tensorflow framework, Computer Vision
• Familiar with collaborative solutions, model & code versioning (Github), and solution packaging (Docker)
• Strong communication, analytical, and problem-solving skills.

Preferred

• Knowledge of AI/ML model development and lifecycle management.
• Experience with cloud-based solutions and collaborative tools (e.g., Github, Docker).
• Experience in Computer Vision and image processing techniques.
• Experience in web development.
• Familiarity with advanced machine learning techniques (e.g., neural networks, NLP, deep learning).
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Proactive approach to learning and implementing emerging technologies.

Additional Information
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

หน้าที่ความรับผิดชอบ (Key Responsibilities):

·    ออกแบบและดำเนินการวิเคราะห์ข้อมูลเชิงลึก เพื่อสนับสนุนกลยุทธ์องค์กรและเพิ่มประสิทธิภาพในเรื่องต่างๆ เช่น: การตรวจสอบและลดปัญหา Frauded, การวางแผนเพื่อ Optimization

·    สร้าง Dashboard และรายงานแบบ Interactive โดยใช้ Power BI

·    สร้างแบบจำลองทางสถิติ / Machine Learning สำหรับวิเคราะห์ เช่น Sales Forecast, Fuel Consumption T_rends, Customer Segmentation หรือ Anomaly Detection

·    แปลง Pain Point ทางธุรกิจให้เป็นโจทย์วิเคราะห์ข้อมูล และนำเสนอ Insight ที่ actionable และ measurable

·    ร่วมกำหนด KPI และวาง Data Strategy ร่วมกับทีมธุรกิจและน้องๆ ในทีม

·    ถ่ายทอดผลการวิเคราะห์ให้ทีมปฏิบัติการเข้าใจง่าย พร้อมแนวทางการแก้ปัญหาที่นำไปใช้ได้จริง

คุณสมบัติ (Qualifications):

·    ปริญญาโทขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง

·    มีประสบการณ์อย่างน้อย 5-10 ปี โดยเฉพาะในบริบทธุรกิจจริง เช่น retail, logistics

·    เชี่ยวชาญการสร้าง Dashboard ด้วย Power BI, Tableau หรือเครื่องมือใกล้เคียง

·    มีทักษะเขียนโปรแกรมและวิเคราะห์ข้อมูลด้วย Python, R, SQL

·    มีความรู้เรื่อง Machine Learning และสามารถใช้ Libraries เช่น scikit-learn, XGBoost, PyTorch ได้

·    มีประสบการณ์ในการทำ Forecasting, Clustering และ Predictive Analytics

·    มีทักษะการคิดเชิงวิเคราะห์สูง สามารถเชื่อมโยงข้อมูลกับบริบทธุรกิจได้ดี

·    หากมีประสบการณ์กับ Cloud Platform เช่น AWS, GCP, Azure จะได้รับการพิจารณาเป็นพิเศษ

ออกแบบและดำเนินการวิเคราะห์ข้อมูลเชิงลึก เพื่อสนับสนุนกลยุทธ์องค์กรและเพิ่มประสิทธิภาพในเรื่องต่างๆ เช่น: การตรวจสอบและลดปัญหา Frauded, การวางแผนเพื่อ Optimization.

สร้าง Dashboard และรายงานแบบ Interactive โดยใช้ Power BI.

สร้างแบบจำลองทางสถิติ / Machine Learning สำหรับวิเคราะห์ เช่น Sales Forecast, Fuel Consumption T_rends, Customer Segmentation หรือ Anomaly Detection.

แปลง Pain Point ทางธุรกิจให้เป็นโจทย์วิเคราะห์ข้อมูล และนำเสนอ Insight ที่ actionable และ measurable.

ร่วมกำหนด KPI และวาง Data Strategy ร่วมกับทีมธุรกิจและน้องๆ ในทีม.

ถ่ายทอดผลการวิเคราะห์ให้ทีมปฏิบัติการเข้าใจง่าย พร้อมแนวทางการแก้ปัญหาที่นำไปใช้ได้จริง.

ปริญญาโทขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.

มีประสบการณ์อย่างน้อย 5-10 ปี โดยเฉพาะในบริบทธุรกิจจริง เช่น retail, logistics.

เชี่ยวชาญการสร้าง Dashboard ด้วย Power BI, Tableau หรือเครื่องมือใกล้เคียง.

มีทักษะเขียนโปรแกรมและวิเคราะห์ข้อมูลด้วย Python, R, SQL.

มีความรู้เรื่อง Machine Learning และสามารถใช้ Libraries เช่น scikit-learn, XGBoost, PyTorch ได้.

มีประสบการณ์ในการทำ Forecasting, Clustering และ Predictive Analytics.

มีทักษะการคิดเชิงวิเคราะห์สูง สามารถเชื่อมโยงข้อมูลกับบริบทธุรกิจได้ดี.

หากมีประสบการณ์กับ Cloud Platform เช่น AWS, GCP, Azure จะได้รับการพิจารณาเป็นพิเศษ.