เงื่อนไขการค้นหา

ทักษะ:

Research, Statistics, Python, English

ประเภทงาน:

งานประจำ

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
• Solve complex problems on both technical and business sides using advanced analytical methods.
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capability.
• Basic Qualifications Bachelor s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark).
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical problem-solving capabilities.
• Preferred Qualifications Master s or PhD degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ทักษะ:

Data Analysis, Statistics, Python

ประเภทงาน:

งานประจำ

• Data Analysis: Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges..
• Model Development: Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization..
• Collaboration: Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions..
• Visualization and Communication: Present insights and findings through visualizations and dashboards to inform decision-making..
• Innovation: Stay updated on the latest tools and techniques in data science and retail analytics..
• Engineer and optimize features to improve machine learning model performance.
• Automate feature extraction pipelines for scalable workflows.
• Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.
• Assist in designing and maintaining data pipelines and ensuring data quality..
• Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field..
• Experience: At least 2 years of experience in data science or a related field..
• Proficiency in Python for data analysis and machine learning.
• Strong SQL skills for managing and querying large datasets.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib).
• Soft Skills: Strong problem-solving, communication, and teamwork abilities..
• Exposure to MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).
• Familiarity with data engineering tools (e.g., Apache Spark, Kafka, Airflow).
• Experience in building real-time analytics or personalization systems.

ทักษะ:

Python, SQL

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 Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. 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:

Product Development, Statistics, English

ประเภทงาน:

งานประจำ

• Drive the creation of robust business intelligence systems to provide insights that inform strategic decisions.
• Develop and implement data analytics solutions that improve business processes and customer experiences.
• Ensure the accuracy, integrity, and availability of data used for business intelligence and decision-making.
• Manage the deployment of big data technologies and tools to enhance data processing capabilities.
• Lead initiatives in big data analytics, ensuring the extraction of valuable insights from large, complex datasets.
• Oversee the implementation of predictive analytics and data discovery techniques to anticipate trends and opportunities.
• Guide the development and deployment of machine learning models and AI algorithms for various business applications.
• Stay abreast of the latest advancements in machine learning, AI, and data science to ensure the company remains competitive.
• Collaborate with IT and engineering teams to integrate AI solutions into existing systems and platforms.
• Work closely with cross-functional teams, including IT, marketing, product development, and operations, to drive data-driven decision-making.
• Bachelor's degree in engineering, computer science, math, physics, statistics, or another highly quantitative field, such as machine learning, business analytics, statistics, mathematics, or a related field.
• Solid understanding and hands on experience in machine learning and data mining.
• Experience with statistical programming languages and database software.
• Good knowledge of data structure and algorithms.
• Sensitive to data and business, passionate about technical challenges, have excellent critical thinking skills.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.

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:

Statistics, Data Analysis, SQL

ประเภทงาน:

งานประจำ

• Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
• Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
• Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
• Machine Learning & AI.
• Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
• Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
• Problem-Solving & Collaboration.
• Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
• Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
• Technical Expertise.
• Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
• Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
• Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
• Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
• Education & Experience.
• Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
• Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.

ทักษะ:

Digital Marketing, Statistics, Python

ประเภทงาน:

งานประจำ

• Drive clear and effective business translation of AI/ML products between business and technical stakeholders.
• Design, develop and leverage Advanced analytics, Artificial Intelligence (AI) and Machine Learning (ML) models to support digital marketing, MarTech, AdTech, and hyper-personalization initiatives.
• Analyze Big Data to develop effective predictive and recommendation models.
• Collaborate closely with Product Owners, IT teams, and Data teams to implement AI solutions that improve marketing campaign performance.
• Continuously refine and enhance AI models through testing and performance evaluation.
• Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/MLprojects..
• Bachelor s Degree or higher in Computer Science, Computer Engineering, Data Science, Statistics, or any related field.
• Minimum of 2 years in AI/ML engineer, cloud solution or a related field.
• Proficiency in some of the following: Python, PySpark and SQL etc.
• Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus.
• 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.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. 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:

ETL, Python, TensorFlow

ประเภทงาน:

งานประจำ

• Develop and deploy machine learning models for demand forecasting, customer segmentation, pricing optimization, and inventory management.
• Work with large-scale datasets and implement efficient feature engineering pipelines to enhance model performance.
• Use PySpark to process and analyze large datasets in a distributed computing environment.
• Collaborate with data engineers to build scalable data pipelines and ensure data quality.
• Implement MLOps best practices for model deployment, monitoring, and retraining in production.
• Design ETL workflows for preprocessing and transforming structured and unstructured data.
• Communicate findings and recommendations to business stakeholders in a clear and actionable manner.
• Stay up to date with the latest advancements in AI, machine learning, and data engineering.
• 5+ years of experience in data science, machine learning, or applied AI.
• Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
• Hands-on experience with PySpark for big data processing and analysis.
• Experience with SQL for querying large datasets efficiently.
• Familiarity with cloud platforms (AWS, GCP, Azure) and distributed computing frameworks.
• Knowledge of MLOps practices (model versioning, CI/CD for ML, monitoring, automation).
• Experience working with ETL workflows and data engineering pipelines.
• Strong understanding of statistical analysis, time-series forecasting, and clustering techniques.
• Excellent problem-solving and communication skills, with the ability to translate data insights into business value.
• Experience in the retail industry or working with e-commerce/consumer data.
• Familiarity with tools like Databricks, Airflow, MLflow, and Docker/Kubernetes.
• Experience with deep learning frameworks for NLP or computer vision.
• 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:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• Applying machine learning techniques to Identify new business opportunities and process Improvement using computer vision. Machine learning projects may come from both requirements from Internal customers and initiatives from the data science team Itself a candidate may be required to work in the field occasionally if a protect is related to a process at operational level.
• หน้าที่ความรับผิดชอบ: Develop Al initiative projects for new business/new customers/and improvement across SCGP using advanced analytics, machine learning/and optimizat ...
• Create a course of reccomended actions based on knowledge obtained from machine learning/ optimization.
• Follow up and refine the model by collaborating with related parties to achieve the target result.
• คุณสมบัติ: Bachelor's/Master's/Doctorate degree in Computer Engineering, Computer Science, Statistics, Applied Science, or related fields (Bachelor's G.P.A. > 2.70, Master's G.P.A. > 3.30).
• Proficient in English (TOEIC score at least 550).
• Using Python, SQL to process data to draw insights from datasets (PySpark to process big data is a plus).
• Experience in one of the Deep Learning languages: Tensorflow, Pytorch, Mxnet.
• Experience in one of the computer vision, LLMs, linear programming, and machine learning.
• Experience using MLOps tools such as Kubeflow, MLFlow, or Sagemaker is a plus.
• Experience working in manufacturing and full-stack data science deployment.
• Experience in solving manufacturing problems related to operations, quality, and supply chain using Machine & Deep Learning is a plus.
• Knowledge of statistical techniques and concepts such as regression, time series analysis, statistical distribution, and statistical tests.
• Knowledge and experience in training and applying Machine & Deep Learning algorithms to solve complex problems.
• Positive attitude, Growth Mindset, Eager to learn, and Service mind.
• Able to work upcountry occasionally.
• ติดต่อ: Pupat แมค Wattanadumrongkul อีเมล์: [email protected]

ทักษะ:

ETL, Compliance, Industry trends, English

ประเภทงาน:

งานประจำ

• Drive and consult our clients to ensure they will have right solutions to solve their use cases.
• Understand, analyze and collect a large set of data from multiple sources.
• Collaborate with stakeholders to validate data semantics and metrics definitions.
• Design and implement data solutions with data orchestration.
• Strong knowledge of ETL orchestration tools (Openflow, Snowpark, Airflow, Fivetran, Pentaho ).
• Support AI solutions with a strong data foundation design and development.
• Fine-tune data queries for optimization.
• Develop data models following the data architecture.
• Responsible for Technical Solution design documents.
• Ensure the solutions respect all the compliance and security from client, industry and market regulatory (GDPR, PDPA, HIPAA).
• Knowledge of Data governance principles and tools (Snowflake data clean room, DBT, Collibra, ).
• Support pre-sales activities and proposals delivery.
• Work closely with business stakeholders to understand their data needs and with Solutions Architect/Tech Lead to ensure the sprint deliveries.
• Develop and maintain best practice of delivering clean and compliant data pipelines.
• Mentor more junior BI and Data Engineers.
• Stay up-to-date with industry trends, best practices, and emerging technologies related to data.
• The Qualifications.
• 5+ years of relevant experience in data engineering.
• English professional proficiency.
• Certified and experienced in Snowflake.
• Experience in consultancy.
• Experience in API calls, SQL, Python to build optimized ELT/ETL pipeline.
• Knowledge of data modeling and data architecture.
• Experience in AI tools to support development (windsurf, copilot ).
• Experience in developing data flow for AI (RAG, Gen BI, ).
• Exposure to Cortex AI (AI search, Document AI, ).
• Be able to develop a downloader (Python preferably).
• Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
• Strong communication skills to effectively explain technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a team environment and with customers.
• Fast learner to appreciate the needs of various business models and industries.
• Extra points if you have.
• Thai language fluency.
• Good communication skills in English.
• Any certification in AWS or Azure.
• First experiences in data modeling.
• Experience in Fabric, Databricks, Big Query.
• Experience with data visualization tools such as Power BI, Tableau, Data Studio, and Looker.
• Experience with docker, Kubernetes.
• Worked in more than one project and with various tech stacks.
• SI Vendor industry experience.
• Bachelor's degree in Mathematics, Statistics, data, Computer Science, or related field.
• Familiarity with statistical analysis and machine learning concepts is a plus.
• About us
• Seven Peaks is a world-class technology company specializing in Digital Transformation for companies worldwide, delivering scalable software solutions and experience design, aimed at driving business impact.
• We are based in Bangkok, Thailand, with a growing team of more than 180 industry professionals from over 25 different countries currently providing end-to-end Digital Product services - from Product Design, Mobile/Web Development, Cloud Native Solutions, Data and Analytics, IOT Integrated solutions to Quality Assurance and more.
• Seven Peaks acquired Morphosis, one of the leading UX/UI design companies in Thailand which is now part of the Seven Peaks group.
• For more information please visit https://sevenpeakssoftware.com and https://morphos.is/.
• 10(15) days annual paid vacation.
• Flexible working hours.
• Hybrid Working Policy.
• Health & Life insurance.
• Provident Fund.
• Free Lunch every Wednesday.
• Learning and Certifications support.
• Grade A Office in the heart of Bangkok, directly connect with MRT Queen Sirikit Station.
• International work environment with over 20 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.
• Sponsorship for visa and work permit for expatriates.

ทักษะ:

Big Data, Research, Statistics

ประเภทงาน:

งานประจำ

• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research discover and harness new ideas that can make a difference.
• What You'll Need to Succeed.
• 4+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.
• It's Great if You Have.
• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
• Experience in NLP, image processing and/or recommendation systems.
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
• Experience in data science for e-commerce and/or OTA.
• We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

ETL, Compliance, Industry trends, English

ประเภทงาน:

งานประจำ

• Drive and consult our clients to ensure they will have right solutions to solve their use cases.
• Understand, analyze and collect a large set of data from multiple sources.
• Collaborate with stakeholders to validate data semantics and metrics definitions.
• Design and implement data solutions with data orchestration.
• Strong knowledge of ETL orchestration tools (Databricks, Airflow, Pentaho ).
• Model and set up data flow towards third party system such as CDP/CEP.
• Fine-tune data queries for optimization.
• Develop data models following the data architecture.
• Responsible for Technical Solution design documents.
• Ensure the solutions respect all the compliance and security from client, industry and market regulatory (GDPR, PDPA, HIPAA).
• Knowledge of Data governance principles and tools (DBT, Collibra, Purview, ).
• Support pre-sales activities and proposals delivery.
• Work closely with business stakeholders to understand their data needs and with Solutions Architect/Tech Lead to ensure the sprint deliveries.
• Develop and maintain best practice of delivering clean and compliant data pipelines.
• Mentor more junior BI and Data Engineers.
• Stay up-to-date with industry trends, best practices, and emerging technologies related to data.
• The Qualifications.
• Thai language professional proficiency and Good communication skills in English.
• Have experience in Customer Data Platform integration (CDP).
• 5+ years of relevant experience in data engineering.
• Experience in consultancy.
• Experience in API calls, SQL, Python, SparkPY to build optimized ELT/ETL pipeline.
• Knowledge of data modeling and data architecture.
• Experience in Databricks, Snowflake, Fabric, Big Query.
• Have experience in Customer Engagement Platform integration (CEP).
• Experience in AI tool to support development.
• Experience in developing data flow for AI (RAG, Gen BI, ).
• Be able to develop a downloader (Python preferably).
• Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
• Strong communication skills to effectively explain technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a team environment and with customers.
• Fast learner to appreciate the needs of various business models and industries.
• Extra points if you have.
• Certified and experienced in Snowflake.
• Any certification in AWS or Azure.
• First experiences in data modeling.
• Experience with data visualization tools such as Power BI, Tableau, Data Studio, and Looker.
• Experience with docker, Kubernetes.
• Experience in Relay42, Segment, Mparticle, Moengage.
• Experience in ML/AI related areas.
• Exposure in LangChain.
• Worked in more than one project and with various tech stacks.
• SI Vendor industry experience.
• Bachelor's degree in Mathematics, Statistics, data, Computer Science, or related field.
• Familiarity with statistical analysis and machine learning concepts is a plus.
• About us
• Seven Peaks is a world-class technology company specializing in Digital Transformation for companies worldwide, delivering scalable software solutions and experience design, aimed at driving business impact.
• We are based in Bangkok, Thailand, with a growing team of more than 180 industry professionals from over 25 different countries currently providing end-to-end Digital Product services - from Product Design, Mobile/Web Development, Cloud Native Solutions, Data and Analytics, IOT Integrated solutions to Quality Assurance and more.
• Seven Peaks acquired Morphosis, one of the leading UX/UI design companies in Thailand which is now part of the Seven Peaks group.
• For more information please visit https://sevenpeakssoftware.com and https://morphos.is/.
• 10(15) days annual paid vacation.
• Flexible working hours.
• Hybrid Working Policy.
• Health & Life insurance.
• Provident Fund.
• Free Lunch every Wednesday.
• Learning and Certifications support.
• Grade A Office in the heart of Bangkok, directly connect with MRT Queen Sirikit Station.
• International work environment with over 20 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.

ทักษะ:

Compliance

ประเภทงาน:

งานประจำ

• Monitor all data center systems including power, cooling, fire suppression, and physical security systems during the shift.
• Perform routine inspections and preventive maintenance of data center equipment to ensure optimal performance.
• Respond promptly to alerts, alarms, and incidents, escalating issues to higher-level technical teams or management as necessary.
• Maintain accurate logs and records of all operational activities, incidents, and maintenance tasks performed during the shift.
• Support the deployment, relocation, and removal of hardware and equipment in accordance with standard operating procedures.
• Ensure compliance with company policies, safety protocols, and regulatory requirements related to data center operations.
• Coordinate with cross-functional teams (network, facilities, security) to resolve operational issues efficiently.
• Assist in maintaining physical security and access control for the data center facility.
• Participate in shift handover meetings to ensure seamless transition and communication between shifts.
• Job QualificationsBachelor s degree in IT, Electrical, or related field preferred.
• Prior experience in data center operations or facility management is an advantage.
• Basic understanding of data center infrastructure components (power, cooling, fire safety, security).
• Ability to work in a 24/7 shift environment including nights, weekends, and holidays.
• Strong problem-solving skills and attention to detail.
• Ability to follow procedures and work independently or as part of a team.
• Physical ability to handle equipment and perform routine inspections.
• Fluent in English both written and verbal (Minimum 700 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ทักษะ:

Sales, Negotiation, Industry trends

ประเภทงาน:

งานประจำ

• Manage and motivate a team of Data Center Sales Specialists and Client Managers to achieve sales targets and business objectives.
• Develop and execute sales strategies aligned with organizational goals and market dynamics.
• Allocate sales territories and targets effectively, ensuring operational plans support continuous improvement.
• Mentor, coach, and provide technical and commercial guidance to the sales team to enhance their effectiveness.
• Oversee sales forecasting, pipeline management, and reporting accuracy.
• Identify and pursue new business opportunities within existing and new accounts.
• Collaborate closely with Client Managers and pre-sales teams to qualify and close complex data center deals.
• Build and maintain strong relationships with key decision-makers, partners, and ecosystem stakeholders.
• Develop account plans and go-to-market strategies in partnership with vendors and internal teams.
• Support negotiation and deal closure processes, ensuring alignment with client needs and company offerings.
• Maintain deep knowledge of data center technologies including servers, storage, networking, cloud solutions, and software-defined infrastructure.
• Address technical challenges during the sales cycle and articulate value propositions tailored to client business goals.
• Work with technical architects to design and present comprehensive data center solutions.
• Stay current on industry trends, competitive landscape, and pricing strategies.
• Analyze market conditions, competitive positioning, and customer requirements to inform sales strategies.
• Collaborate with marketing and engineering teams to develop technical collateral, white papers, and presentations.
• Represent the company at trade events and industry associations to promote products and solutions.
• Ensure CRM and sales tools are updated accurately to reflect pipeline and opportunity status.
• Job QualificationsProven track record of minimum 5 years in data center sales, preferably with experience managing sales teams.
• Strong expertise in data center infrastructure solutions including compute, storage, networking, cloud, and software-defined technologies.
• Demonstrated ability to develop and execute sales strategies and manage complex sales cycles.
• Excellent leadership, coaching, and interpersonal skills.
• Strong business acumen with the ability to understand and align solutions to client business objectives.
• Experience working with channel partners, system integrators, and ecosystem alliances.
• Ability to work collaboratively across internal teams and with external stakeholders.
• Proficient in sales methodologies, CRM systems, and sales reporting tools.
• Willingness to travel as needed within the assigned territory.
• Fluent in English both written and verbal (Minimum 700 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ทักษะ:

Product Owner, Product Design, Telesales

ประเภทงาน:

งานประจำ

• Lead end-to-end project execution from planning to delivery across digital initiatives.
• Collaborate with Data Science teams to apply AI/ML models and predictive analytics into product design and business workflows.
• Align business goals (e.g., telesales efficiency, lead scoring, revenue impact) with data-driven product strategy.
• Translate complex data outputs into actionable insights for business stakeholders.
• Drive project documentation, risk management, scope control, and cross-team alignment.
• Define success metrics, monitor post-launch performance, and iterate accordingly.
• Manage project budgets, change requests, and vendor coordination as needed..
• 7+ years in project management, preferably in digital transformation, data-driven products, or financial services.
• Experience leading cross-functional teams and collaborating with Data Science/Engineering.
• Familiarity with AI/ML applications, data modeling concepts, or analytics tools (you don t need to build models but should understand how to integrate them).
• Strong knowledge of project delivery frameworks (Agile, SDLC) and stakeholder management.
• Bonus: experience in telesales, CRM systems, or customer journey optimization.

ทักษะ:

SAS, SQL, Tableau

ประเภทงาน:

งานประจำ

• Produce daily, weekly, monthly business report for the Collections Department.
• Develop and automated data processes, including routine and ad-hoc reports, to improve efficiency.
• Coordinated cross-functional teams to define business objectives and present complex data insights clearly.
• Analyzed and improved existing business reports and provided support for problem-solving and new business requirements.
• Enhance collector performance by implementing report for performance tracking, involving requirements gathering and report template design by using tools such as SAS.
• Design and develop data visualization, dashboards, to support business comprehend data and make critical decisions.
• Estimate costs and benefits for the sales campaign, incentive schema of the Collections Department.
• Bachelors and / or Masters degree in any field.
• 3+ years experience as MIS.
• Experience in using SAS, SQL, Powe BI, Tableau, Access and Excel (Pivot, VLOOKUP).

ทักษะ:

SAP, ERP, Quality Assurance

ประเภทงาน:

งานประจำ

• Support the implementation and integration of SAP S/4HANA for pricing operations.
• Ensure high data quality and governance across all pricing systems.
• Collaborate with IT and functional teams to enhance pricing system capabilities.
• Assist in business continuity and disaster recovery planning for pricing data.
• Conduct UAT testing and develop test scripts.
• Ensure smooth implementation with no business impacts.
• Bachelor's degree in Business Administration, Information Systems, Computer Science, or a related field.
• Strong proficiency in SAP or other ERP, including pricing condition records and system interfaces.
• Excellent data management and data quality assurance skills.
• Proficiency in Microsoft Excel and other data analysis tools.
• Strong analytical and problem-solving abilities.
• Effective communication and collaboration skills.
• Precision, attention to detail.
• Ability to quickly catch-up OTC process.
• Experience in OTC (Order to Cash), data management, or a related field. Pricing operations is a plus.
• Experience with SAP or other ERP implementation projects is highly preferred.
• Familiarity with CRM platforms.
• Familiarity with data governance and quality assurance practices.

ทักษะ:

Product Owner, Project Management, Data Analysis

ประเภทงาน:

งานประจำ

• Collaborate with business leaders to identify and prioritize analytics needs.
• Translate business goals into actionable data product and analytics requirements.
• Provide strategic recommendations for the data product roadmap based on business impact.
• Foster strong partnerships with stakeholders across functions.
• Data Product Ownership.
• Lead end-to-end development of data products from ideation to launch and adoption.
• Ensure that data solutions are cost-effective, user-friendly, and aligned with business priorities.
• Drive user adoption and monitor usage to ensure business value is realized.
• Provide technical guidance and support to the data team and business users.
• Project & Performance Management.
• Manage and prioritize data initiatives to meet agreed timelines and quality standards.
• Monitor progress, communicate updates, and report outcomes to stakeholders.
• When issues arise, ensure that arise they are resolved within reasonable timeline, and at root causes.
• Cross-functional Coordination.
• Collaborate with IT and other departments to understand upcoming initiatives that may affect data operations.
• Work with IT and cross-functional teams to mitigate risks and align technical execution with business timelines.
• Quality Assurance.
• Promote data integrity and quality across business processes.
• Ensure data governance policies and procedures are adhered to.
• Drive continuous improvement in data processes and analytics capabilities.
• Bachelor s degree in Business Analytics, Computer Science, Data Science, or a related field.
• Proven experience in a business partnering, IT business analyst, or IT product owner role, with the ability to influence and drive business data strategy.
• Strong project management abilities with experience in leading cross-functional projects.
• Strong ability to analyze user requirements, make recommendations and implement solution.
• Strong communication and interpersonal skills, with the ability to explain complex data concepts to non-technical stakeholders.
• Proficiency in data analysis tools and technologies (e.g., SQL, Python, Power BI).
• Strategic thinker with a business-focused mindset.
• Ability to prioritize and execute in high-pressured environment.
• Ability to work in a fast-paced, dynamic environment.
• Strong problem-solving skills.
• 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:

Payroll, Labor law, Finance

ประเภทงาน:

งานประจำ

• Prepare and process monthly payroll for all staff, including permanent, AEC, and temporary employees.
• Verify attendance, OT, leave records, and payroll adjustments in line with company policies and labor law requirements.
• Coordinate with finance and accounting for salary disbursements, statutory payments (SSO, provident fund, etc.), and year-end tax submissions (PND.1, PND.91).
• Maintain confidentiality and security of payroll data at all times.
• Handle payroll inquiries from employees and resolve discrepancies in a timely manner.
• Payroll Data Analysis & Reporting (30%).
• Analyze payroll trends, such as OT costs, headcount costs, and turnover-related payroll impacts.
• Provide regular and ad hoc reports to management (e.g., cost center reports, headcount budget vs. actual, overtime trend analysis).
• Collaborate with HRBP and Operations to provide insights that support manpower planning and cost control initiatives.
• Support HR projects such as cost-saving initiatives, audit reviews, or workforce optimization with relevant data.
• System & Process Improvement (10%).
• Maintain and enhance payroll data accuracy in HRIS/payroll systems.
• Collaborate with IT and system vendors (e.g., Prosoft) to improve payroll system functionality.
• Develop tools or templates to automate manual payroll tasks and reduce errors.
• Support digital transformation and HR analytics initiatives.
• Bachelor s degree in HR, Accounting, Finance, Business Administration, or related field.
• 3-5 years of payroll experience in a medium to large organization; experience with AEC workers and warehouse operations is a plus.
• Strong Excel and data analysis skills (e.g., pivot tables, v-lookups, basic formulas); Power BI knowledge is an advantage.
• Experience with HRIS/payroll systems (e.g., Prosoft, SAP, Workday) is preferred.
• Good understanding of Thai labor law, taxation, and statutory contributions.
• High attention to detail and accuracy.
• Analytical and problem-solving mindset.
• Ability to meet tight deadlines under pressure.
• Strong confidentiality and data integrity ethics.
• Collaborative and proactive communicator.

ประเภทงาน:

งานประจำ

• Develop the analytics strategy of AIS properties, both of website and applications, to gather all data and insight and conduct collection, tracking and analysis of data and the generation of fact-based insights using digital analytic tools including Adobe Analytic, Google Analytic 4 and truehits.net.
• Analysis of digital marketing traffic and channels of paid, own, earn web and app, customer journey and performance marketing analysis-purchase funnel.
• Implement the data driven marketing guideline document and use data driven decision ...
• Execute assigned projects in areas such as analytics implementation, use case, data integration, tag management, online tracking etc.
• Explore the latest Marketing Technologies (MarTech) trends and technological advances including Analytic, DMP, CDP, SEO tools and Social Listening tools etc.
• At least 3 years professional work experience in digital marketing.
• Education background in IT, Statistics.
• Analytical and systematic thinking skills with using Google Analytics 4 tool..