เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Automation, Python

ประเภทงาน:

งานประจำ

• Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
• Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
• Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
• Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
• Collaborate with internal team and partner to scale up development to production.
• Maintain and fine tune existing analytic model in order to ensure model accuracy.
• Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
• Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
• Be Project manager for Data project and manager project scope, timeline, and budget.
• Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
• Control / manage / govern Level 2 support, identify, fix and configuration related problems.
• Keep maintaining/up to date of data modelling and training model etc.
• Run through Data flow diagram for model development.
• EDUCATION.
• Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
• EXPERIENCE.
• At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
• Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
• Experience developing and deploying machine learning model in production environment.
• Knowledge in oil and gas business processes is preferrable.
• OTHER REQUIREMENTS.

ทักษะ:

PHP, Python

ประเภทงาน:

งานประจำ

• พัฒนาระบบ Web Application, Mobile Application โดยใช้ C#, Angular, PHP หรือ Python.
• ศึกษาและวิเคราะห์กระบวนการทำงานปัจจุบันเพื่อนำไปปรับปรุงกระบวนการให้ดีขึ้นอยู่เสมอ.
• ดำเนินการพัฒนาโปรแกรมและจัดการสร้างฐานข้อมูลได้อย่างมีประสิทธิภาพ.
• ดำเนินการทดสอบระบบตามความต้องการ (Requirement Spec) พร้อมทั้งทดสอบ Test script ร่วมกับทีมพัฒนาระบบ และจัดทำรายงานผลการทดสอบเพื่อนำเสนอต่อผู้บริหาร.
• ติดตามการดำเนินงานและอัพเดทแผนงาน เพื่อรายงานความคืบหน้าโครงการต่อผู้บริหารได้.
• ศึกษาทำความเข้าใจกระบวนการทำงานของธุรกิจ และ สามารถวิเคราะห์ประเด็นปัญหา/ความต้องการทางธุรกิจได้ (Business Process).
• ศึกษารายละเอียดโครงการเพื่อจัดทำแผนการดำเนินงาน,ข้อมูลทางเลือก, และนำเสนอต่อต่อผู้บริหารเพื่ออนุมัติ.
• จัดทำเอกสารคู่มือการใช้งานระบบที่พัฒนาและระบบที่เกี่ยวข้อง เพื่อเป็นเอกสารอ้างอิงการใช้งานและใช้ในการอ้างอิงเพื่อพัฒนาต่อยอดระบบใน Phase ต่อไป.
• ดำเนินการฝึกอบรมการใช้งานให้กับผู้ใช้งานระดับต่างๆ ให้เป็นไปตามวัตถุประสงค์ของการพัฒนาระบบ.
• ศึกษาและติดตามการเปลี่ยนแปลงของเทคโนโลยีใหม่ๆ โดยสามารถนำสิ่งที่เรียนรู้มาประยุกต์ใช้ในงานได้อย่างมีประสิทธิภาพ.
• ปริญญาตรีด้านวิทยาการคอมพิวเตอร์, คอมพิวเตอร์ธุรกิจ, เทคโนโลยีสารสนเทศ หรือ สาขาที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานในส่วนงานที่เกี่ยวข้องอย่างน้อย 4 ปีขึ้นไป.
• มีทักษะการสื่อสารที่ดี.
• ติดต่อสอบถาม.
• สำนักทรัพยากรบุคคล.
• อาคารแสงโสม ถนนวิภาวดีรังสิต แขวงจอมพล เขตจตุจักร กรุงเทพมหานคร.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Microsoft Azure, SQL, UNIX, Python, Hadoop

ประเภทงาน:

งานประจำ

• Develop data pipeline automation using Azure technologies, Databricks and Data Factory.
• Understand data, reports and dashboards requirements, develop data visualization using Power BI, Tableau by working across workstreams to support data requirements including reports and dashboards and collaborate with data scientists, data analyst, data governance team or business stakeholders on several projects.
• Analyze and perform data profiling to understand data patterns following Data Qualit ...
• 3 years+ experience in big data technology, data engineering, data analytic application system development.
• Have an experience of unstructured data for business Intelligence or computer science would be advantage.
• Technical skill in SQL, UNIX and Shell Script, Python, R Programming, Spark, Hadoop programming.

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:

3 ปีขึ้นไป

ทักษะ:

PowerShell, Python, Amazon AWS, Microsoft Azure, English, Thai

ประเภทงาน:

งานประจำ

• Design, operate and maintain IT system and Infrastructure on both private cloud and public cloud in accordance with FWD standards and policies.
• Work with project owner and stakeholders to support an application hosted at on-premise data centers and public cloud providers.
• Consult with project owner and stakeholders on deployment design, implementation, monitoring and optimization within cloud platforms.
• Take a hands-on role in automating infrastructure migration to cloud environments.
• Develop scripts to automate standard activities (ie. PowerShell, Python).
• Develop, document, make recommendations, and communicate plans for investing in IT cloud infrastructure, including analysis of cost reduction opportunities.
• Anticipate, mitigate, identify, respond to, and resolve problems affecting cloud systems performance, efficiency, and availability.
• Complete all vulnerability fixing are on time and align with group policy.
• Bachelor s Degree in Computer Science or IT related fields.
• Prefer Certified Microsoft, Azure, AWS or equivalent IT industry certificate.
• Minimum 3-5 years of experience in IT Infrastructure and Cloud Infrastructure.
• Excellence communication both Thai and English.

ทักษะ:

Automation, Assurance, Python

ประเภทงาน:

งานประจำ

• Develops testing programmes throughout the entire technologies lifecycles that address areas such as functionality, compatibility, reliability and usability.
• Leads a wide range of quality control planning and execution activities in alignment with the organisation's standards and strategy to ensure that software meets or exceeds specified business and customer needs.
• Brings together testing requirements by evaluating the product requirement specifications (functional / non-functional) and raise clarifications with product owners, bu ...
• Develops, implements and maintains test scripts/cases autonomously- manual, automation, performance, and supporting analysis. Assigns required tests to Associates.
• Leads the ongoing maintenance of customer technologies, resolving issues and advancing where necessary.
• Recommends and supports the implementation of improvements to quality control frameworks, processes and standard methodologies.
• Builds trusting relationships with team and colleagues, collaborating closely with the team.
• Communicates clearly with and keeps clear lines of communication open to ensure full understanding of tasks, asking questions where needed.
• Qualifications & Experience: Degree in Computer Science, Software Engineering or equivalent.
• ISTQB Core Advanced Certified or equivalent is a plus.
• Exhibits good knowledge in software quality assurance processes and methodologies.
• Experience in Automate testing.
• Ability to code in Python or Java.
• Exhibits good experience in the software development life cycle and one programming language, preferably in multi-tiered applications.
• At LSEG Bangkok, you can be your best self. Our open and inclusive culture and collaborative communities connect colleagues from across the world, and a host of skill development programmes support our people's personal and professional growth. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Python, SQL, Tableau, Quantitative Analysis

ประเภทงาน:

งานประจำ

• Understanding of business problems forgathering/analyzing/designing the data to solve the problems from end-to-end process.
• Excellent in written and verbal communication skills for coordinating across teams.
• Analyze large amounts of information to discover trends and patterns.
• Lead the analytics group in management of projects and experiment designing, implementing innovative Predictive Models, implementing innovative analytic solutions or driving outstanding results.
• Proficient in common data science toolkits (R, Python) and using SQL languages.
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop).
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• At least 2-3 year in Business Intelligence/Data Analytic.
• Proficiency in statistical analysis, quantitative analytic, forecasting/predictive analytic, experimental design and optimization algorithms.
• Technical expertise regarding data modeling, data mining, segmentation techniques, unstructured data skills, and other data science.
• Programming skills in big data frameworks and statistical modeling such as SAS, R, and Python, CE Techniques.
• Experience in data visualization tools.
• Knowledge/experience in machine learning.
• Domain knowledge of mobile, network and telecommunication technology and services would be advantageous.

ทักษะ:

Software Testing, Java, Python, English

ประเภทงาน:

ฝึกงาน

• You will have an interest in technology demonstrated either via your work experience, extracurricular activities, or academic studies. For instance, you may be part of a Computing Society, have taught yourself how to code or have focused on technology as part of a university project.
• You should be interested in financial markets and how technology supports our business.
• A curiosity for data and an ability to analyse information to draw conclusions and p ...
• Individuals who are able to connect the dots and think creatively.
• The environment we work in is fast paced, you ll need to demonstrate focus, resilience and the flexibility to adapt to changing demands.
• People who can collaborate with others, using their strong communication skills in the process.
• You will have an interest in technology demonstrated either via your academic studies, work experience, or extracurricular activities. For instance, you may be part of a programming Society, have taught yourself how to code or have focused on technology as part of a university project. Basic Software Testing knowledge, will be a good starting point to have for this internship.
• Knowledge in Java, Python, JavaScript or TypeScript would be a plus.
• You should be interested in financial markets and how technology supports our business.
• A curiosity for data and an ability to analyse information to draw conclusions and propose solutions.
• Individuals who are able to connect the dots and think creatively.
• People who can collaborate with others, using their strong English communication skills in the process. (written and verbal).
• To be apply, you must be a penultimate year student due to complete your degree 2026. You should have a good grade and studying a technology, engineering or computing related degree. Application close: 31 December 2024, however we recommend an early application because we consider candidates on a rolling recruitment basis. Due to the volume of applications, we might close the applications earlier. LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ทักษะ:

node.js, Golang, Python

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable and robust advertising systems across the stack (frontend, backend, mobile, and infrastructure).
• Build and optimize core features such as PPC models, bidding algorithms, and real-time ad delivery systems.
• Collaborate with product managers to understand advertiser needs and deliver impactful solutions.
• Experiment with new tools, frameworks, and methodologies to discover innovative advertising solutions.
• Develop intuitive dashboards and tools for advertisers using frameworks like React (Next.js) and Svelte (SvelteKit).
• Create and maintain backend services for ad targeting, campaign management, and analytics using Node.js, Golang, or Python.
• Contribute to mobile app features related to ad placements and reporting using Flutter.
• Ensure the stability and scalability of our advertising infrastructure using Kubernetes, Docker, and cloud platforms (GCP, AWS).
• Implement and uphold high-quality testing practices, including unit and integration tests for ad-related features.
• Proactively participate in code reviews, offering and receiving constructive feedback.
• Collaborate with cross-functional teams to integrate new advertising technologies effectively.
• Basic Qualifications We value skills and a willingness to learn. You should have proficiency in some of the following or be eager to learn them:Backend languages (e.g., Node.js, Golang, Elixir, Python).
• Frontend frameworks (e.g., React, Svelte).
• Mobile development tools (e.g., Flutter).
• Data pipeline for advertisement systems.
• In addition, you should:Focus on making the product successful and helping users achieve their goals, not just completing tasks.
• Have experience with Docker, Kubernetes, and cloud infrastructure (GCP, AWS).
• Be familiar with CI/CD pipelines and source control tools like GitHub.
• Understand database systems that are suitable for advertisement systems.
• Be curious, experimental, and open to learning from failure.
• Possess strong communication skills and thrive in collaborative Agile environments.
• Be self-motivated, adaptable, and team-oriented, with a strong work ethic.
• Preferred Qualifications We re especially excited if you bring:Proficiency in at least one backend language, one frontend framework, and mobile development tools.
• Experience building advertising platforms, including PPC models, bidding systems, or ad delivery networks.
• A deep understanding of ad performance metrics and optimization techniques.
• Strong system design skills, including the ability to make logical, long-term trade-offs.
• An eye for detail and a passion for creating user-centric advertising tools.
• The ability to adapt to a fast-paced, rapidly changing environment, driven by our vision to empower advertisers and businesses alike.
• Perks & Benefits Flat Structure As we continue to grow fast, we strive to retain our culture where everyone is heard, contributes, and grows with the company..
• Work-life Harmony We believe that quality time outside of work is important to sustaining a healthy and happy lifestyle.
• Remote Work Hybrid-mode activated! It comes with the package: flexibility, focus and productivity!.
• Urban Office One breath from Phrom Phong BTS. No sweat whatsoever! The office should also feel like a second home so we dedicated a lot of care and resources into building the best environment for you to wake up to every morning.
• Fun Workshop The best relationships are built over new experiences, that s why we have workshops filled with a range of activities for you to look forward to and enjoy.
• Game Tournament It s getting fun and competitive! Challenge doesn t only have to come from work. Own the championship and show the peeps how great of a gamer (and player) you are.
• Group Insurance Health comes first, we know, don t worry, we ve got you covered.
• Health & Wellness Only a healthy army wins the war. We invest to take care of you from physical, mental and happiness-level. Adopted health & wellness applications plus activities to make sure everyone here is on cloud nine

ทักษะ:

node.js, Golang, Python

ประเภทงาน:

งานประจำ

• Design, develop, and maintain software systems across the stack (frontend, backend, mobile, and infrastructure).
• Work closely with product managers to understand user needs and deliver impactful features.
• Experiment with new tools, frameworks, and methodologies to discover innovative solutions.
• Optimize services for performance, scalability, and maintainability.
• Develop intuitive user interfaces using frameworks like React (Next.js) and Svelte (SvelteKit).
• Build and maintain robust backend services with Node.js, Golang, Elixir, or Python.
• Contribute to mobile app development using Flutter.
• Ensure infrastructure stability and scalability using Kubernetes, Docker, and cloud platforms (GCP, AWS).
• Take a proactive role in code reviews, offering and receiving constructive feedback.
• Advocate for and implement high-quality testing practices, including unit and integration tests.
• Collaborate with cross-functional teams to integrate new tools and technologies effectively.
• Basic Qualifications We value skills and a willingness to learn. You should have proficiency in some of the following or be eager to learn them:Backend languages (e.g., Node.js, Golang, Elixir, Python).
• Frontend frameworks (e.g., React, Svelte).
• Mobile development tools (e.g., Flutter).
• In addition, you should:Focus on making the product successful and helping users achieve their goals, not just completing tasks.
• Have experience with Docker, Kubernetes, and cloud infrastructure (GCP, AWS).
• Be familiar with CI/CD pipelines and source control tools like GitHub.
• Understand database systems like PostgreSQL.
• Have a scientist mindset curious, experimental, and open to learning from failure.
• Possess strong communication skills and thrive in collaborative Agile environments.
• Be self-motivated, adaptable, and team-oriented, with a strong work ethic.
• Preferred Qualifications We re especially excited if you bring:Proficiency in at least one backend language, one frontend framework, and mobile development tools.
• A passion for turning our vision into reality and contributing to its success.
• An eye for design and a passion for user-centric product development.
• A deep understanding of product success metrics and a drive to contribute to them.
• Strong system design skills, including the ability to make logical, long-term trade-offs.
• The ability to adapt to a fast-paced, rapidly changing environment, driven by our vision to make an impact.
• Perks & Benefits Flat Structure As we continue to grow fast, we strive to retain our culture where everyone is heard, contributes, and grows with the company..
• Work-life Harmony We believe that quality time outside of work is important to sustaining a healthy and happy lifestyle.
• Remote Work Hybrid-mode activated! It comes with the package: flexibility, focus and productivity!.
• Urban Office One breath from Phrom Phong BTS. No sweat whatsoever! The office should also feel like a second home so we dedicated a lot of care and resources into building the best environment for you to wake up to every morning.
• Fun Workshop The best relationships are built over new experiences, that s why we have workshops filled with a range of activities for you to look forward to and enjoy.
• Game Tournament It s getting fun and competitive! Challenge doesn t only have to come from work. Own the championship and show the peeps how great of a gamer (and player) you are.
• Group Insurance Health comes first, we know, don t worry, we ve got you covered.
• Health & Wellness Only a healthy army wins the war. We invest to take care of you from physical, mental and happiness-level. Adopted health & wellness applications plus activities to make sure everyone here is on cloud nine

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Python, SQL, Power BI

ประเภทงาน:

งานประจำ

• Data Collection and Cleaning: Gather data from various sources and prepare it for analysis by cleaning and checking for completeness or errors.
• Data Analysis: Utilize statistical techniques to study, analyze, discover insights, and derive meaningful data-driven conclusions.
• Reporting: Create reports in various formats, presenting data through graphs, features, or figures for stakeholders' use.
• Collaboration: Work with other teams to plan data analysis or resolve specific issues affecting organizational goals.
• Performance Monitoring: Define and track key performance indicators (KPIs) to measure the effectiveness and efficiency of various projects.
• Strategic Planning: Assist the management team in strategic planning by using data analysis to improve workflows and processes.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as PowerBI, R, Python, SQL. C++.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL).
• Knowledge of ETL tools and techniques for data integration and transformation is a plus.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Excel, Python, Power BI, Data Analysis, Inventory / Warehouse Management

ประเภทงาน:

งานประจำ

• Identify and provide list of non-performing inventory, never been sold inventory, non-Planogram, Inventory to Merchandise & Buyer, follow up action and simulate impact from Mark down price.
• Analyze root cause which impact to non-performing inventory increasing and provide conclusion and recommendation for next step action in term of work in a process with relevant parties.
• Work with Store Operations to follow up execution to clear these inventory.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
• Have experience in Data analyst, Inventory Analyst, Inventory Planning at least 3-5 Years.
• Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Power Query, Tableau.
• Have experience in Retail business /FMCG would be advantage.
• Good Analytic skills.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

DevOps, Python, Ruby, English

ประเภทงาน:

งานประจำ

• Implement integrations requested by customers.
• Deploy updates and fixes.
• Build tools to reduce occurrences of errors and improve customer experience.
• Develop software to integrate with internal back-end systems.
• Perform root cause analysis for production errors.
• Investigate and resolve technical issues.
• Develop scripts to automate visualization.
• Design procedures for system troubleshooting and maintenance.
• Bachelor Degree in Computer Engineering, Computer Science, Software Engineering or related fields.
• Minimum 5 years of experience in DevOps role.
• Experience in Shell, Python, Ruby or Golang.
• Experience with DevOps tools such as Chef, Puppet, Ansible, Salt, JSON, Terraform, Jenkins, etc.
• Strong knowledge of public cloud offerings (preferably AWS) on network, security, compute, storage and continuous integration.
• Experience with cloud based architectures and best practices.
• Experience with all stages in the lifecycle of developing and running large distributed systems.
• Hands-on experience in CI/CD, Release Engineering and DevOps.
• Hands-on experience on container and orchestration services e.g. Kubernetes.
• Hands on experience in secure coding best practices and source code security scanning and review. Familiar with relevant tools such as Jenkins, Sonar, Artifactory, Docker Registry.
• Previous experience with large data storage and analytics platforms (Data lake) and data manipulation tooling, e.g. Kibana, Elasticsearch, Logstash, would be an advantage.
• Good understanding and working knowledge of the ITIL Service management framework.
• Thai speaker and Good English Communication.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Big Data, ETL, SQL, Python

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:

Project Management, SQL, Python, English

ประเภทงาน:

งานประจำ

• Adjust language models that have already been trained for generative AI applications Ensure that the LLMs and pipelines based on LLMs are tuned and released.
• Create and implement LLMs for various content creation jobs Develop and communicate roadmaps for data science projects.
• Design effective agile workflows and manage a cycle of deliverables that meet timeline and resource constraints.
• Serve as a bridge between stakeholders and AI suppliers to facilitate seamless communication and understanding of project requirements.
• Work closely with external AI suppliers to ensure alignment between project goals and technological capabilities.
• Identify and gather data sets necessary for AI projects.
• Prior experience in Machine Learning, Deep Learning, and AI algorithm to solve respective business cases and pain points.
• Prior hands-on experience in data-mining techniques to better understand each pain point and provide insights.
• Able to design and conduct analysis to support product & channel improvement and development.
• Present key findings and recommendations to business counter parties and senior management on project approach and strategic planning.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• Native Thai speaker & fluent in English.
• 3+ years of proven experience as a Data Scientist with a focus on project management (Retail or E-Commerce business is preferable).
• At least 2+ years of relevant experience as an LLM Data Scientist Experience in SQL and Python (Pandas, Numpy, SparkSQL).
• Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources.
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
• Experience in machine learning and deep learning (Tensorflow, Keras, Scikit-learn).
• Good Knowledge of Statistics.
• Experience in Data Visualization (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Having good attitude toward team working and willing to work hard.

ทักษะ:

Scrum, Python, Amazon AWS

ประเภทงาน:

งานประจำ

• As a senior developer, you will be responsible for the whole software creation process. from the architecture design, planning, coding, automated unit testing and CI/CD and deployment process.
• Actively participate in project planning and Agile/Scrum ceremonies to analyze requirements and estimates of work.
• Build and improve our service/code maintainability, reliability by using code analysis tools, copilot AI and other automated tools to ensure excellence code quality.
• What you'll bring: Expertise in Python or other dynamic programming language, Asynchronous programming concept and REST, gRPC API standard.
• Flexibility to learn new technologies or programming languages as required by the project and find opportunities for improvements.
• Proven Experience in building Cloud Native application, preferably Amazon AWS or Microsoft Azure.
• Experience working with Relational/NoSQL databases and caching technologies like ElasticSearch, Redis.
• Familiar with Event-Driven Architecture, message queue or event streaming is a plus.
• What you ll get in return: LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

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).

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Automation, Python, Ruby, English

ประเภทงาน:

งานประจำ

• Design and development of automation toolsets to help drive efficiency in Agoda's IT infrastructure (bare metal deployment, software installation/patching, monitoring and remediation, etc.).
• Manage incidents and daily operational tasks on production and development environments, occasionally outside of business hours.
• Provide expert advice and guidance to other infrastructure team staff and software developers; can effectively mentor less experienced staff.
• Lead and manage implementation projects from end to end, working across multiple teams and departments.
• Conducts performance tuning and troubleshooting investigations, working across the entire organization.
• Coordinate datacenter operations tasks with remote DCOE staff (server/rack/row/cage provisioning, rolling replacements, power & temperature management, etc.).
• Develop, design and maintain Grafana dashboards to visualize data from various sources.
• Collaborate with data engineers and analysts to understand data requirements and translate them into effective visualizations.
• Configure and manage data sources, agents, and collectors to ensure accurate and timely data collection.
• Write and optimize queries to extract and transform data for visualization.
• Monitor and troubleshoot Grafana performance issues and implement improvements.
• Provide training and support to team members on using Grafana and interpreting dashboard data.
• At least 5 years of IT operations experience in LARGE heterogeneous environments.
• Competent in one or more common scripting/automation languages: Python (mandatory), Go (mandatory), ruby, JavaScript, bash, PowerShell, ansible-playbook.
• Expert in Grafana dashboard (monitoring and alerting) development and query languages (PromQL, SQL, JQL, Elasticsearch).
• Some experience in CI/CD, preferably form a DevOps background, gitlab (in dept is advantage).
• Excellent troubleshooting skills, deep dive analysis, capable to break down issues into testable hypotheses and develop tools to assist during troubleshooting. Can troubleshoot "full stack" issues.
• Able to work under pressure and deliver projects on time.
• Practical knowledge of Kubernetes or Docker or OpenStack operations and APIs.
• High sense of ownership. Actively looks for lingering problems and proactively fixes them.
• Good knowledge of networking architecture within complex e-commerce environments.
• Good English skills, strong analytical skills, eager to learn new things.
• Self-motivated, approachable and adaptable, with good communication skills (working language is English).
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SQL, Python, SAS, R, Data Analysis

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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.