เงื่อนไขการค้นหา

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Data Analysis, Digital Marketing, Industry trends

ประเภทงาน:

งานประจำ

• Department: Information Technology.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Perform large-scale data analysis and develop effective statistical model for time series, segmentation, classification, pattern recognition, optimization, etc. on digital data (e.g., Web, App, Line, other media platform etc.).
• Develop, build and test statistical and computational models that serve as a key input for digital marketing tools.
• Identify actionable insights and suggest recommendation for data-driven marketing campaigns.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Interact and collaborate with product and marketing managers to provide impactful analysis and insights that align with business objectives.
• Work closely with other BI functions, data analyst and campaign operations to provide end-to-end analytical solutions and proactively create and test decision rules for digital marketing campaigns.
• Collaborate with internal teams on defining population segments to support personalized consumer experiences.
• Provide business requirements and collaborate with internal teams on data capture strategy that will support advanced analysis and insights on consumer behavior.
• Provide ongoing insight into industry trends in web & app analytics, site optimization, and customer segmentation.
• 1-3 years of experience in Data Scientist for solving analytical problems using quantitative approaches.
• Excellent understanding of fundamentals of statistics.
• Advanced in Python.
• Strong experimental design and analysis skills.
• Familiar with time series analysis, forecasting, and machine learning techniques, previous hands-on experience is a plus.
• Ability to manipulate and analyzing complex, high-volume, high-dimensionality data from varying sources.
• Ability to communicate complex analysis in a clear, simple, and actionable manner.
• Working knowledge of SQL and relational databases and analysis tool.
• ประสบการณ์ 2 ปีขึ้นไป.
• จำนวน 1 อัตรา.

ทักษะ:

ETL, Python

ประเภทงาน:

งานประจำ

• รวมข้อมูลดิบจากแหล่งข้อมูลต่างๆ ทั้งภายและภายนอก และสร้างอัลกอริทึมและสร้างต้นแบบ.
• การรวบรวมข้อมูลที่มีโครงสร้าง (Structured Data) และไม่มีโครงสร้าง (Unstructured Data) ประเมินความต้องการและวัตถุประสงค์ทางธุรกิจ.
• จัดระเบียบข้อมูลดิบ นำข้อมูลมาทำความสะอาด (Data Cleansing + Shaping + ETL) รวมถึงจัดเตรียมข้อมูลสำหรับการสร้างแบบจำลอง.
• ทำการ Explore Data ด้วย Data Visualization Tools.
• หาวิธีการปรับปรุงคุณภาพของข้อมูล และสร้างความน่าเชื่อถือของข้อมูลดูแนวโน้มและ Patterns.
• ใช้ AI/ML การทำนาย คาดการณ์ (Predictive) และรายงานผล.
• มีประสบการณ์พัฒนาแอปพลิเคชัน (Web หรือ Mobile) สำหรับ Data Analytics หรือ AI Model Deployment.
• ปริญญาตรี สาขา วิทยาการคอมพิวเตอร์ วิศวกรรมศาสตร์ คณิตศาสตร์ สถิติ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ในการทำ Data Visualization.
• มีประสบการณ์การใช้ Cloud Platform.
• มีประสบการณ์การใช้ Python เช่น Pandas, Numpy, Scikit-learn, Matplotlib and PyTorch.
• มีประสบการณ์ การใช้ Machine Learning เช่น regression, classification, clustering and association.
• มีความเข้าใจในสถิติข้อมูล.
• มีทักษะการนำเสนอ โดยสามารถนำความคิดที่ซับซ้อนมาทำให้เป็นรูปแบบที่เข้าใจง่าย.
• นักสื่อสารที่ดีพร้อมการจัดการผู้มีส่วนได้ส่วนเสียได้.
• มีทักษะการแก้ปัญหา.
• หากมีประสบการณ์พัฒนาแอปพลิเคชัน (Web หรือ Mobile) สำหรับ Data Analytics หรือ AI Model Deployment จะได้รับการพิจารณาเป็นพิเศษ.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Python, SQL, Problem Solving

ประเภทงาน:

งานประจำ

• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai
• We seek a skilled Data Scientist to enhance banking through advanced analytics and machine learning. Main responsibility will be transformed complex data into actionable insights and models for risk management, fraud detection, and customer experience optimization. Collaborate with cross-functional teams to implement data-driven strategies that improve business performance and risk management.
• Data Analysis and Modeling
• Develop predictive models for risk assessment and market analysis.
• Design machine learning algorithms for classification, regression and fraud detection.
• Create automated systems for customer behavior analysis.
• Strategic Leadership
• Identify opportunities for data-driven solutions with stakeholders.
• Present analytical findings to executive management.
• Education and Experience
• Bachelor s Degree or higher in Computer Science, Statistics, Mathematics, Engineer or related field.
• Minimum 2 years of experience in financial data science.
• Technical Skills
• Proficiency in Python, and SQL.
• Strong data analysis skills.
• Solid understanding of statistical analysis and modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Domain Knowledge
• Understanding financial markets and banking operations.
• Financial modeling and quantitative analysis expertise.
• Understanding basic fraud detection and anomaly detection.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 7+ years of experience in data science, machine learning, and predictive analytics, preferably in the banking or financial services industry.
• Strong expertise in Python, R, SQL, and big data frameworks (Spark, Hadoop).
• Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proven track record of developing and deploying ML models in production environments.
• Experience working with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Strong knowledge of statistical modeling, time-series forecasting, NLP, and deep learning techniques.
• Excellent problem-solving skills and ability to communicate complex data insights to non-technical stakeholders.
• Experience in credit risk modeling, fraud detection, or financial forecasting.
• Knowledge of graph analytics, reinforcement learning, or advanced optimization techniques.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website. The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with the Bank. .

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

SQL, Python, English

ประเภทงาน:

งานประจำ

• Research on AI/ML, MarTech and AdTech to explore new tools and techniques.
• Prototype and test hyper-personalization engine using these innovations to ensure benefits and efficiency before full-scale deployment.
• Design, implement and automate personalization engine and recommendation system to enhance customer experiences and boost sales and marketing.
• Leverage Advanced analytics, AI/ML, and data mining techniques across various use cases to address business challenges.
• Design and conduct experiments, evaluate and maintain model to improve performance.
• Engage with key stakeholders, including IT, business, campaign and data teams to align on business requirements and integrate data solutions into our platforms.
• Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/ML projects.
• Bachelor s Degree or higher in Computer Science, Data Science, Engineering, Statistics, or any related field.
• Minimum of 3-5 years experience in data field and at least 2 years in data science, AI/ML engineer or a related field.
• Proficiency in some of the following: Recommendation engine, Reinforcement Learning, Python, PySpark and SQL and etc.
• Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
• Ability to communicate and collaborate with cross-functional teams.
• Growth mindset and openness to continuously learning and facing new projects and new technologies.
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistics, Finance, Risk Management

ประเภทงาน:

งานประจำ

• Bachelor s degree (or equivalent) degree in a quantitative field such as Data Science, Actuarial Science, Statistics, or Mathematics.
• 5+ years of related practical experience, preferably in commercial insurance sector.
• Solid understanding of insurance pricing principles, loss reserving, and risk assessment methodologies.
• Familiarity with insurance industry regulations, standards, and best practices.
• Develop and maintain loss cost models using GLMs and other advanced statistical techniques, incorporating relevant variables and factors for accurate pricing and risk assessment.
• Analyse historical insurance data to identify patterns and trends, and determine the impact of various factors on loss costs.
• Collaborate with underwriting, claims, and finance teams to understand business needs and provide data-driven insights for portfolio management.
• Conduct rate level reviews to ensure appropriate pricing of insurance products, considering risk exposure, market dynamics, and profitability goals.
• Enhance loss cost models over time by incorporating new data sources, refining variables,.
• and exploring innovative modelling techniques.
• Evaluate the impact of pricing strategies, policy changes, and market shifts on portfolio performance, and make recommendations for adjustments, if needed.
• Present findings and recommendations to stakeholders, including senior management and underwriting teams, in clear and concise reports.
• Work closely with other departments including Underwriting, Actuarial, and Risk Management, providing them with the data and insights needed to make evidence-based decisions.
• Functional Competency.
• Excellent analytical and problem-solving skills, with the ability to translate data into meaningful insights and recommendations.
• Strong communication skills to effectively convey complex findings and recommendations to both technical and non-technical stakeholders.
• Attention to detail and ability to work independently, managing multiple projects and deadlines efficiently.
• Strong proficiency in statistical modeling techniques, specifically GLMs, and experience with software tools like R, SAS, or Python.
• Proficiency with data analysis and visualisation tools and platforms, preferably Qliksense, Power BI, Alteryx, etc.
• Educational.
• Bachelor s degree (or equivalent) degree in a quantitative field such as Data Science, Actuarial Science, Statistics, or Mathematics.
• 5+ years of related practical experience, preferably in commercial insurance sector.
• Solid understanding of insurance pricing principles, loss reserving, and risk assessment methodologies.
• Familiarity with insurance industry regulations, standards, and best practices.
• Develop and maintain loss cost models using GLMs and other advanced statistical techniques, incorporating relevant variables and factors for accurate pricing and risk assessment.
• Analyse historical insurance data to identify patterns and trends, and determine the impact of various factors on loss costs.
• Collaborate with underwriting, claims, and finance teams to understand business needs and provide data-driven insights for portfolio management.
• Conduct rate level reviews to ensure appropriate pricing of insurance products, considering risk exposure, market dynamics, and profitability goals.
• Enhance loss cost models over time by incorporating new data sources, refining variables,.
• and exploring innovative modelling techniques.
• Evaluate the impact of pricing strategies, policy changes, and market shifts on portfolio performance, and make recommendations for adjustments, if needed.
• Present findings and recommendations to stakeholders, including senior management and underwriting teams, in clear and concise reports.
• Work closely with other departments including Underwriting, Actuarial, and Risk Management, providing them with the data and insights needed to make evidence-based decisions.
• Functional Competency.
• Excellent analytical and problem-solving skills, with the ability to translate data into meaningful insights and recommendations.
• Strong communication skills to effectively convey complex findings and recommendations to both technical and non-technical stakeholders.
• Attention to detail and ability to work independently, managing multiple projects and deadlines efficiently.
• Strong proficiency in statistical modeling techniques, specifically GLMs, and experience with software tools like R, SAS, or Python.
• Proficiency with data analysis and visualisation tools and platforms, preferably Qliksense, Power BI, Alteryx, etc.

ทักษะ:

Data Analysis, Finance, SQL, English

ประเภทงาน:

งานประจำ

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creation: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
• Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
• Master's degree in Finance, Business, Engineering, or a related field.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
• Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
• Good Knowledge of Statistics.
• Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having a good attitude toward teamwork and willing to work hard.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Development, Assurance, Salesforce

ประเภทงาน:

งานประจำ

• Architect and deploy sophisticated AI/ML models that revolutionize marketing campaigns through advanced customer segmentation, behavioral prediction, and engagement optimization.
• Spearhead the development of innovative solutions leveraging machine learning, NLP, and computer vision for diverse marketing applications.
• Design and implement AI-powered technologies that enhance campaign performance, enable real-time personalization, and automate customer journeys.
• Collaborate closely with related parties to seamlessly integrate AI capabilities into marketing strategies and campaigns.
• Partner with data engineers to build scalable AI solutions adaptable across different industries and business needs.
• Conduct advanced analytics to uncover actionable insights and predictive patterns that drive campaign performance with Data & Solution team.
• Lead innovation initiatives by staying at the forefront of AI advancements and identifying new opportunities for advanced business solutions.
• Qualifications Advanced degree in Data Science, Statistics, Computer Science, AI, or related field.
• Expert proficiency in Python, SQL, and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Proven track record in developing and deploying recommendation systems and segmentation models.
• Strong foundation in customer analytics, predictive modeling, and machine learning.
• Experience with cloud platforms (AWS/GCP/Azure) and MLOps practices.
• Familiar with CDP and DMP platforms.
• Advanced knowledge of data visualization tools (Tableau, Power BI) and Google Analytics.
• Demonstrated ability to drive innovation in fast-paced environments.
• Growth mindset with exceptional collaborative and adaptive capabilities.
• Background in creative technology and interactive AI applications.
• Strong foundation in experimentation and A/B testing frameworks.
• Outstanding analytical and problem-solving capabilities.
• Excellent communication skills across diverse stakeholder groups.
• Natural collaborator with innovative mindset and continuous learning orientation.
• Proficient in English both speaking and writing.
• Location: Bangkok Brand: Dentsu Cxm Time Type: Full time Contract Type: Permanent

ทักษะ:

Big Data, ETL, SQL

ประเภทงาน:

งานประจำ

• Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Experience in Generative AI is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ทักษะ:

Tableau, Big Data, SQL

ประเภทงาน:

งานประจำ

• Gathering, understanding, and analyzing detailed business requirements using appropriate tools and techniques.
• Identify trends and opportunities for growth through analysis of complex data sets.
• Create best-practice ongoing reports/dashboards based on data mining, analysis, and visualization.
• Use data to answer key questions about the business.
• Deliver takeaways from data with statistical significance.
• Experience using business intelligence or data visualization tools (e.g. Tableau, PowerBI).
• Able to analyze trends and patterns for solving business insight problems in big data by working with business users and data scientists/data engineers.
• Proficient in using SQL languages.
• Excellent in Microsoft Excel (e.g. Pivot table, vlookup) and PowerPoint.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Data-oriented personality, great communication skills, and an excellent eye for detail.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Social media, PHP, Python

ประเภทงาน:

งานประจำ

• Department: Information Technology.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Develop and maintain efficient and scalable data collection services from various sources.
• Monitor all job schedules within data pipelines to ensure smooth operations.
• Ensure data quality and integrity across various data sources.
• Enhance existing services to be more flexible and adaptable to data changes.
• Provide alerts and manage issues that may arise in the scheduling process to ensure continuous and efficient services performance.
• Ensure the APIs connection of Social Media and Third Party APIs.
• Working closely with data scientists and data analysts in order to generate business impactful masterpiece..
• 2+ years of experience with HTML/CSS/JS/PHP/Python/SQL/NodeJS and Other Back-End Technologies.
• New graduates with strong specific skill are welcome.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Advanced in Python (Selenium) and SQL.
• Basic understanding of job schedulers (Cron) and Linux environments.
• Systematic thinking, automation finder, change management and always enhancing things are a crucial personality/mindset for this position..
• ประสบการณ์ 2 ปีขึ้นไป.
• จำนวน 1 อัตรา.

ทักษะ:

ETL, Compliance, SQL

ประเภทงาน:

งานประจำ

• Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into a centralized data warehouse or data lake.
• Integrate data from different sources, such as databases, APIs, and third-party applications, ensuring data consistency and accuracy.
• Create and maintain data models and schemas to facilitate data storage and retrieval, following best practices for data warehousing and database management.
• Implement data quality checks and validation processes to ensure data accuracy, completeness, and consistency.
• Optimize data pipelines and systems for performance, scalability, and efficiency, making sure data processing meets business requirements.
• Implement data security measures to protect sensitive information and ensure compliance with data privacy regulations (e.g., GDPR, HIPAA).
• Document data engineering processes, data lineage, and system architecture to facilitate knowledge sharing and future maintenance.
• Set up monitoring and alerting systems to detect and address issues with data pipelines and systems proactively.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data needs and provide the necessary infrastructure and support.
• Stay up-to-date with the latest data engineering technologies and tools, and evaluate their applicability to the organization's data stack.
• Bachelor's degree in computer science, information technology, or a related field. A master's degree is a plus.
• Strong proficiency in data engineering tools and technologies, such as SQL, ETL frameworks (e.g., Apache Spark, Apache Airflow, Apache Beam).
• Experience with Google BigQuery for data warehousing.
• Experience with Google Cloud Dataflow or Dataproc.
• Experience with programming languages like Python, Java, or Scala.
• Experience with building streaming data pipelines on Google Cloud.
• Knowledge of database design, data modeling, and data integration techniques.
• Familiarity with data governance, data security, and compliance standards.
• Problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

ทักษะ:

SQL, Python, SAS

ประเภทงาน:

งานประจำ

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query,model,generative AI.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment.

ทักษะ:

Data Analysis, Big Data, SQL, English

ประเภทงาน:

งานประจำ

• Analyze Internal Data such as Traffic, Car Parking, Wi-Fi, Customer (Local & Global Citizen), Promotion, Loyalty Program Proposition, Member data and tenants including the new business data sets in the future to understand the customer insight in depth.
• Bring insights from Data Scientist to analyze to find the business opportunities, process improvement and find new initiate new business ideas for sales and revenue increase including enhancing Customer Engagement.
• Analyze to find the customer need and insights from consolidating existing data. This is to keep tracking on the consumer behavior and consumer preference so that the company can present the proper products, services and marketing communications according to each customer target group.
• Analyze the business data in depth for marketing campaigns by both Offline and Online channels to accomplish the expected objectives.
• Analyze the data on return of investment from marketing activities and Loyalty Programs, this would enhance learning curve on investment for Marketing and extend the business ideas for all related stakeholders to work effectively.
• Support internal parties in terms of providing data analysis from Analytics products of all properties, ONESIAM Super App to drive the data-led organization.
• Verify and ensure the quality of the data before distributing to internal parties to be accurate, updated and effective enough preparing for data analysis.
• Manage a small group member on data analyst.
• Perform other tasks as assigned.
• Graduated from Bachelor or Master Degree in Business, Computer Science, Engineering or other related fields.
• At least 10 years of strong experience in Data Analysis for big data.
• Able to use analytic tools such as SQL, Python, PySpark, etc.
• Good at storytelling for the data analysis.
• Good command in English.
• Experience in manage a small of members before.
• Possess detail-oriented, communication, analytical, strategic thinking skills.

ทักษะ:

Industry trends, Statistics, Python

ประเภทงาน:

งานประจำ

• Develop and execute a forward-thinking analytics strategy tailored to the retail industry, focusing on leveraging data platforms to drive revenue growth, operational efficiency, and customer satisfaction.
• Lead, mentor, and inspire a team of data scientists and analysts, fostering a culture of innovation, collaboration, and data-driven decision-making.
• Stay ahead of industry trends, emerging technologies, and best practices in data science and retail analytics to maintain CP Axtra s competitive edge.
• Analytics Execution.
• Oversee the integration of diverse data sources, including POS systems, CRM platforms, online transactions, and third-party providers, into our cloud-based data platform.
• Design and develop advanced machine learning models, algorithms, and statistical analyses to uncover actionable insights related to customer behavior, product performance, and market trends.
• Apply expertise in recommendation and personalization algorithms to enhance customer experiences and engagement.
• Deliver data-driven solutions to optimize pricing strategies, inventory management, and promotional campaigns, leveraging state-of-the-art analytics tools and methodologies.
• Business Partnership.
• Partner closely with retail operations, marketing, and sales teams to understand business challenges and provide tailored analytical support that aligns with strategic objectives.
• Identify opportunities to enhance customer segmentation, personalized marketing efforts, and customer retention strategies through advanced data science techniques.
• Act as a key advisor to senior leadership, translating complex data insights into actionable recommendations and business value.
• Performance Monitoring and Optimization.
• Define and monitor key performance indicators (KPIs) related to retail operations, such as sales conversion rates, customer lifetime value, and basket analysis.
• Leverage analytics to continuously assess and optimize business processes, driving operational efficiency and profitability.
• Communication and Presentation.
• Present complex analytical findings, models, and recommendations to stakeholders in a clear, impactful, and visually compelling manner.
• Collaborate across departments to implement data-driven initiatives that align with CPaxtra s goals and drive tangible outcomes.
• Education and Experience.
• Bachelor s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master s or PhD strongly preferred).
• Extensive experience in analytics, data science, or business intelligence roles, with significant exposure to the retail industry.
• Technical Skills.
• Advanced proficiency in Python, R, SQL, and machine learning frameworks.
• Expertise in data visualization tools (e.g., Tableau, Power BI) and cloud-based data platforms (e.g., AWS, GCP, Azure).
• In-depth knowledge of big data technologies (e.g., Spark, Hadoop) and modern data engineering practices.
• Strong understanding of recommendation/personalization algorithms and data processing technologies.
• Leadership and Business Acumen.
• Proven ability to lead high-performing teams in a dynamic, fast-paced environment.
• Exceptional strategic thinking and problem-solving skills with a demonstrated focus on delivering business value.
• Deep understanding of retail operations, including inventory management, customer journey mapping, and merchandising strategies.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Product Development, Product Design, Legal

ประเภทงาน:

งานประจำ

• Generate and translate product concepts to technically feasible and consumer-relevant products using information from various products testing during all phases of product development.
• Applies expertise of ingredient functionality, interactions and other fundamental food science principles for optimum product design.
• Applies knowledge of nutritional and medical science and understands implications to product design.
• Demonstrates ability to integrate various unit operations to overall product functionality for scale-up to manufacturing.
• Effectively manages elements of intellectual property of formulations.
• Utilizes structured process of analysis, design, contingency planning and resolution of product development problems.
• Effectively communicates technical topics to various audiences to influence decisions.
• Effectively utilizes networking relationships with internal R&D staff and suppliers to acquire other technical knowledge and expertise.
• Utilizes all pertinent regulatory guidelines in all aspects of product formulation to ensure legal compliance and product safety.
• The experience we're looking for.
• Advanced degree in Food Science, Food Technology, Food Engineering, Chemical Engineering, Chemistry, Nutrition or related discipline. Master s degree/PhD is an advantage (not a requirement).
• Minimum 8 years of experience in a product development environment with at least 2 years of experience in managing a team of product development scientists.
• Proven leadership, stakeholder management and interpersonal skills, focusing on influencing outcomes through persuasion and impact rather than formal reporting line accountability.
• Proven interaction with external customers in order to identify and understand internal and external customer needs.
• Successfully led product innovation from ideation to commercialization, maximizing opportunities to secure intellectual property.
• Strong applied knowledge in Dairy Science, Food Science, Project Management, Nutrition, Formulation Development, interpretation of food regulations.
• Knowledge of Asia Regulatory environment is an advantage.
• Experience in management of projects and intellectual property with third party manufacturers is an advantage.
• The skills for success.
• Business Strategy, Task Execution Under Pressure, Makes strategic Business Decisions, Business Acumen, Commercial Awareness, Objective Setting, Accountability, Consumer Insight, Creative Direction, R&D, Change Leadership, Product Lifecycle Management, Business Partnership, Collaboration and partnership building, Relationship Management, Adapt to changes in technological development plans, Ability to challenge the status quo and propose improvement, Innovation Processes, Digital transformation for R&D, Quality and Manufacturing.
• What we offer.
• With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.
• We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.
• Equality.
• We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.
• All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Data Analysis, Tableau, Excel

ประเภทงาน:

งานประจำ

• Work closely with stakeholders to understand business requirements, identify opportunities, and whitespace to commercialize data-driven insights and solutions.
• The candidate will need to lead data analysis and sales pitching for the Annual Media planning process, and have good commercial awareness and communication skills to be able to connect with multiple stakeholders.
• Break down business questions into analytical frameworks, and being able to talk the language of technical teams as well as commercial stakeholders is a key requirement ...
• The candidate will need to lead the development of end-to-end data lead media solutions, and media measurements to keep ahead of the media industry standards and own roadmap to deploy and modernize media measurements across different media platforms, channels, and mechanics.
• Candidates should have some idea of offline and online SSP and DSP platforms and architecture, and market direction to strategically build and improve media solutions, either owned or in partnership with external parties.
• Be proactive and co-own the go to market strategy along with commercial stakeholders for multiple media channels/ and other data commercialization initiatives, and proactively help plan the right focus areas for the team, develop solutions and products to help build the roadmap and pipeline for commercial opportunities.
• Develop and implement predictive models, statistical algorithms, and machine learning models to support business needs.
• Develop and implement data visualizations using PowerBI/ Data Studio/QuickSight/ Tableau/ Excel to effectively communicate insights to stakeholders.
• Collaborate with cross-functional teams, including business analysts, product managers, and developers, to implement data-driven solutions.
• Stay up to date with emerging technologies, marketing technology platforms, omni-channel media and industry trends to identify new opportunities for improving data analytics and applications.
• Mentor and coach junior data scientists and data analysts to develop their skills and expertise.
• Bachelor s or Master s degree in data science/ engineering/ statistics/economics/ computer science/ mathematics, or a related field is a requirement.
• MBA/Business degree with strong background in technical understanding and hands-on expertise is preferable.
• Online media experience will be a strong advantage.
• 8+ years of experience as a data scientist or data analyst in marketing across any industry is a requirement.
• Strong proficiency in Python/ Pyspark/ SQL/ R is a requirement.
• Strong experience in story telling from data, analysis and insight is required.
• Commercial understanding, and having a balanced approach for go-to-market strategy is a requirement.
• Experience with machine learning algorithms and statistical modeling is a bonus.
• Strong communication skills and the ability to collaborate with cross-functional teams is a requirement.
• Proven ability to work independently and manage multiple projects simultaneously is a requirement.
• The candidate must display a high sense of accountability and be agile in handling high value projects, and be able to motivate the team to deliver as a shared objective with the commercial plan.
• Experience in mentoring and coaching junior/ senior DA/ DS is a requirement.

ทักษะ:

SQL, Research, Java

ประเภทงาน:

งานประจำ

• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Educational.
• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).

ทักษะ:

Big Data, Java, Python

ประเภทงาน:

งานประจำ

• Background in programming, databases and/or big data technologies OR.
• BS/MS in software engineering, computer science, economics or other engineering fields.
• Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards.
• Assemble medium, complex data sets that meet functional /non-functional business requirements.
• Design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction transformation, and loading of data from a wide variety of data sources big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access.
• Create data tools for analytics and data scientist team members.
• Functional Competency.
• Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• In depth knowledge of data engineering discipline.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Minimum of 5+ years' hands-on experience with a strong data background.
• Solid programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools.
• Educational.
• Background in programming, databases and/or big data technologies OR.
• BS/MS in software engineering, computer science, economics or other engineering fields.
• Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards.
• Assemble medium, complex data sets that meet functional /non-functional business requirements.
• Design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction transformation, and loading of data from a wide variety of data sources big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access.
• Create data tools for analytics and data scientist team members.
• Functional Competency.
• Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• In depth knowledge of data engineering discipline.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Minimum of 5+ years' hands-on experience with a strong data background.
• Solid programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Python, ETL, Compliance

ประเภทงาน:

งานประจำ

• Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
• Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
• Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
• Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
• Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
• Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
• Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
• Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
• Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
• Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
• Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
• Knowledge of data modeling principles and experience working with SQL databases.
• Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Location: True Digital Park, Bangkok (Hybrid working).