เงื่อนไขการค้นหา

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.

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:

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. .

ประเภทงาน:

งานประจำ

• Develop and articulate a comprehensive, long-term AI strategy aligned with CP Axtra's overall business objectives and growth initiatives.
• Identify key opportunities for AI to create competitive advantage, drive efficiency, and enhance customer and associate experiences.
• Stay abreast of cutting-edge AI research, emerging technologies (e.g., Generative AI, Reinforcement Learning, Advanced Robotics), and industry best practices.
• Oversee the design, development, and deployment of AI/ML models and solutions across various business units (e.g., personalized shopping, demand forecasting, dynamic pricing, supply chain optimization, AI-powered associate tools).
• Collaborate closely with technology, product, merchandising, supply chain, store operations, and marketing teams to identify use cases and ensure seamless integration of AI solutions.
• Establish scalable AI infrastructure,.
• Partner with data leadership to ensure the availability, quality, and governance of data essential for AI model training and performance.
• Advocate for robust data privacy, security, and ethical AI practices across all AI initiatives..
• Build, lead, and mentor a high-performing team of AI researchers, machine learning engineers, data scientists, and AI product managers.
• Foster a culture of innovation, experimentation, and continuous learning within the AI organization.
• Drive AI literacy and adoption across the broader organization..
• Champion internal AI research and development initiatives.
• Evaluate and manage strategic partnerships with external AI technology providers, academic institutions, and startups.
• Establish and enforce ethical AI principles and guidelines, ensuring fairness, transparency, and accountability in AI systems.
• Define clear metrics and KPIs for AI initiatives, tracking and reporting on their business impact and return on investment.
• Optimize AI solutions based on performance data and business feedback..
• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Master's or Ph.D. preferred.
• Minimum of 15+ years of progressive leadership experience in AI/ML, data science, or advanced analytics, with at least 5-7 years in a senior executive or equivalent role within a large, complex organization, preferably in retail, e-commerce, or a similar high-volume consumer-centric industry.
• Proven track record of defining, building, and deploying impactful AI solutions at enterprise scale.
• Deep expertise in various AI/ML techniques, including deep learning, natural language processing, computer vision, reinforcement learning, and predictive analytics.
• Experience with large-scale data platforms, cloud-based AI services (Azure, GCP, AWS), and MLOps.
• Familiarity with ethical AI frameworks and responsible AI development practices.
• Exceptional strategic thinking and problem-solving abilities.
• Strong leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization.
• Business acumen with a deep understanding of retail operations, supply chain, merchandising, and customer engagement.
• Ability to translate complex technical concepts into clear, actionable business insights.
• Demonstrated ability to attract, develop, and retain top AI talent.
• Comfortable operating in a fast-paced, highly dynamic environment..

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:

Research, Compliance

ประเภทงาน:

งานประจำ

• Develop and articulate a comprehensive, long-term AI strategy aligned with CP Axtra's overall business objectives and growth initiatives.
• Identify key opportunities for AI to create competitive advantage, drive efficiency, and enhance customer and associate experiences.
• Stay abreast of cutting-edge AI research, emerging technologies (e.g., Generative AI, Reinforcement Learning, Advanced Robotics), and industry best practices.
• Oversee the design, development, and deployment of AI/ML models and solutions across various business units (e.g., personalized shopping, demand forecasting, dynamic pricing, supply chain optimization, AI-powered associate tools).
• Collaborate closely with technology, product, merchandising, supply chain, store operations, and marketing teams to identify use cases and ensure seamless integration of AI solutions.
• Establish scalable AI infrastructure.
• Partner with data leadership to ensure the availability, quality, and governance of data essential for AI model training and performance.
• Advocate for robust data privacy, security, and ethical AI practices across all AI initiatives..
• Build, lead, and mentor a high-performing team of AI researchers, machine learning engineers, data scientists, and AI product managers.
• Foster a culture of innovation, experimentation, and continuous learning within the AI organization.
• Drive AI literacy and adoption across the broader organization..
• Champion internal AI research and development initiatives.
• Evaluate and manage strategic partnerships with external AI technology providers, academic institutions, and startups.
• Establish and enforce ethical AI principles and guidelines, ensuring fairness, transparency, and accountability in AI systems.
• Define clear metrics and KPIs for AI initiatives, tracking and reporting on their business impact and return on investment.
• Optimize AI solutions based on performance data and business feedback..
• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Master's or Ph.D. preferred.
• Minimum of 15+ years of progressive leadership experience in AI/ML, data science, or advanced analytics, with at least 5-7 years in a senior executive or equivalent role within a large, complex organization, preferably in retail, e-commerce, or a similar high-volume consumer-centric industry.
• Proven track record of defining, building, and deploying impactful AI solutions at enterprise scale.
• Deep expertise in various AI/ML techniques, including deep learning, natural language processing, computer vision, reinforcement learning, and predictive analytics.
• Experience with large-scale data platforms, cloud-based AI services (Azure, GCP, AWS), and MLOps.
• Familiarity with ethical AI frameworks and responsible AI development practices.
• Exceptional strategic thinking and problem-solving abilities.
• Strong leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization.
• Business acumen with a deep understanding of retail operations, supply chain, merchandising, and customer engagement.
• Ability to translate complex technical concepts into clear, actionable business insights.
• Demonstrated ability to attract, develop, and retain top AI talent.
• Comfortable operating in a fast-paced, highly dynamic environment..
• 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:

ETL, Python, Java

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize data storage solutions, including data warehouses and data lakes.
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security and access control measures.
• Optimize query performance and data retrieval processes.
• Evaluate and integrate new data technologies and tools.
• Mentor junior data engineers and provide technical leadership.
• Collaborate with cross-functional teams to support data-driven decision-making.
• RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or related roles.
• Strong programming skills in Python, Java, or Scala.
• Extensive experience with big data technologies such as Hadoop, Spark, and Hive.
• Proficiency in SQL and experience with both relational and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Knowledge of data modeling, data warehousing, and ETL best practices.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

ทักษะ:

Python, SQL, Java

ประเภทงาน:

งานประจำ

• Data Pipeline Development: Design, implement, and maintain data analytics pipelines and processing systems.
• Data Modeling: Apply data modeling techniques and integration patterns to ensure data consistency and reliability.
• Data Transformation: Write data transformation jobs through code to optimize data processing.
• Data Management: Perform data management through data quality tests, monitoring, cataloging, and governance.
• LLM Integration: Design and integrate LLMs into existing applications, ensuring smooth functionality and performance.
• Model Development and Fine-Tuning: Develop and fine-tune LLMs to meet specific business needs, optimizing for accuracy and efficiency.
• Performance Optimization: Continuously optimize LLM performance for speed, scalability, and reliability.
• Infrastructure Knowledge: Possess knowledge of the data and AI infrastructure ecosystem.
• Collaboration: Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
• Continuous Learning: Demonstrate a willingness to learn and find solutions to complex problems.
• Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
• Experience: At least 2 years of experience in data engineering and at least 3 years as data scientist.
• Technical Skills: Proficiency in Python, SQL, Java, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms. Additional, visualization tools i.e Power BI, Tableau, Looker, Qlik.
• Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
• Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
• Desirable.
• System Design: Knowledge of system design and platform thinking to build sustainable solutions.
• Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
• Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
• API Development: Experience with API design to facilitate integration of LLMs with other systems.
• Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
• Visualization Solution: Skills in design and develop dashboard for analytic & insight.
• Agile Methodologies: Experience with agile software delivery and CI/CD processes.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Project Management, Python, SQL

ประเภทงาน:

งานประจำ

• Partner with stakeholders to analyze business needs, translate requirements into data science solutions, and ensure alignment with strategic goals.
• Lead end-to-end project management-from scoping and prototyping to production roll-out-ensuring models are scalable, maintainable, and deliver ROI.
• Communicate insights effectively to non-technical audiences, enabling data-driven decision-making across teams.
• Responsibilities: Collaboration with related parties for Al initiative projects to ensure alignment with strategic goals.
• Apply and rollout machine learning/ optimization model using advanced analytics and machine learning/optimization.
• Data & Al strategy and detail roadmap.
• Qualifications: Bachelor's/Master's degree in Computer Engineering, Computer Science, or related fields (Bachelor's G.P.A. > 2.70, Master's G.P.A. > 3.30).
• 3 - 6 years of working experience in Data Scientist, or related roles.
• Proficiency in Python and SQL.
• Experience in applying machine learning algorithm/optimization.
• Business domain expertise, and Process understanding.
• Mathematics and statistics including probability and statistical inference.
• Effective communication abilities.
• Innovation and willingness to explore new ideas.
• Good command in English (TOEIC score at least 550).
• Contact: Pupat แมค Wattanadumrongkul Email: [email protected]

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.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions.
• Extract insights from large and complex datasets using a variety of tools and techniques.
• Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling.
• Present findings and recommendations to stakeholders in a clear and compelling manner.
• Implement data-driven solutions in various environments, including integration with existing systems and processes.
• Stay up to date on the latest development in data science and bring new idea and technology to the team.
• Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time.
• Bachelor s or Master s degree in data science, Computer Science, Statistics, or related field.
• 4+ years of experience as a Data Scientist, with a focus on industries.
• Descriptive Analytics.
• Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path).
• Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases.
• Experience with statistical and machine learning techniques.
• Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others.
• Experience with data visualization tools such as Looker Studio, Tableau, and Power BI.
• Strong problem-solving and communication skills.
• Experience with Cloud technology and databases (Cloud AWS, Azure, GCP).
• Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery.
• Location: True Digital Park, Bangkok.

ทักษะ:

Python, Instrument, English

ประเภทงาน:

งานประจำ

• Implement python application to lead data structure/format to price financial instruments using both self-created libraries embedded and/or pre-defined library or Refinitiv quantitative pricing service API.
• Participate in discussion both technical and non-technical aspect with parties mainly located in Europe and India.
• Produce level of required document.
• Provide 3rd level support of application.
• Required skills and experience New graduates are also welcome.
• Good knowledge in Python programming language and application design.
• Understand concept of API (application programming interface).
• Intermediate level in spoken and written English.
• Positive and open mindset, eager to learn new technologies.
• Preferred skills, interests (not required but an advantage) Strong curiosity about financial market, trading securities and investment.
• Knowledge in statistic and calculus (e.g. partial differential equation).
• Concept of financial market and financial instrument especially derivatives.
• 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:

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.
• Responsibilities: Develop Al initiative projects for new business/new customers/and improvement across SCGP using advanced analytics, machine learning/and optimization.
• 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.
• Qualifications: 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.
• Contact: Pupat แมค Wattanadumrongkul Email: [email protected]

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.

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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Research, Data Analysis, Procurement, English

ประเภทงาน:

งานประจำ

• Accountability for, but not limited to the execution of variety specific agronomy field trials/research projects facilitated at the Indochina FutureFarms and other locations, through collaboration with internal stakeholders and external vendors. These trials will span multiple disciplines including, but not limited to variety specific agronomy, disease tolerance to local pests, nitrogen optimization, microbiome, climate adaptability, Ag-Tech and soil health, for both in-season and post-harvest research focuses. Interpretation and reporting associated experimental results and make r ...
• Understand local plant patent regulations, use security planned trialing to mitigate loss of key foundational genetics that feed the entire Lays global potato breeding program- Decide.
• Be a subject matter expert in research agronomy trialling for potato across R&D categories, Office of Sustainability and Procurement.
• Work collaboratively both internally within Agricultural Science, other R&D functions, and with external suppliers and vendors to enable delivery of projects which support Walkers, Lays and Quaker through delivery against Global Ag Strategy commitments, including pep+ goals, productivity and consumer quality advantage.
• Work collaboratively with growers where we share lab facilities for the purpose of completing post harvest quality assessments for potato, including fry quality and potato storage.
• Negotiate contracts with external research collaborators, holding them to account against agreed deliverables to ensure project timelines are met.
• Develop and maintain effective working relationship with partners within R&D and with other non-R&D project stakeholders (Procurement, Office of Sustainability).
• Provide regular and timely project progress updates to key stakeholders to ensure continued alignment with business objectives.
• Provide high quality research outcomes to support and document delivery against the Global Ag Strategy, AOP and pep+ goals.
• Qualifications:Minimum MSc in Breeding Agriculture/Crop Science or equivalent, plus minimum 5 years experience in designing and executing field research projects with variety line assessment, agronomy, Ag-Tech and/or sustainable agriculture.
• The above experience must include potato, ideally for the processing/crisping industry.
• Experience in plant pathology, potato storage research would be advantageous.
• Experience in experimental design of field and lab-based experiments.
• Skilled in working with large datasets and statistical interpretation.
• Excellent communication and reporting skills.
• Demonstrated ability to lead projects to deliver specified goals.
• Innovative attitude demonstrated through past experience and track record.
• Demonstrated ability to execute projects within a project management framework.
• Demonstrated ability to explain complex scientific concepts to other scientists and to non-technical business partners.
• Ability to partner as part of a high-performing global working team.
• Experience working with, and managing, external vendors.
• Ability to design and execute field research trials in collaboration with internal partners and stakeholders to deliver statistically meaningful research that meets the aims of projects across agronomy, crop physiology, agritech and soil health disciplines.
• Proactive planning to layout trials and seed storage in a manner that is secure and protects identity of parental line genetics that are foundational for the entire global breeding program.
• Ability to balance need to deliver aggressive business innovation goals with scientific excellence.
• A proven ability to work closely with colleagues within a matrix organization to deliver complex projects with a high degree of flexibility and comfort with change.
• Partner effectively and have excellent interpersonal skills with ability to communicate and negotiate effectively across all levels and all functions of the organization.
• Utilize strong written and oral skills to provide regular reports and data summaries to project teams and department leaders.
• Strong analytical skills - ability to interpret complex data and distil into useful and actionable information.
• Good presentation skills (written & verbal) in Thai and English.
• Cultural sensitivity, with flexibility and respect for different cultures.
• Self-starter, self-motivated - very high drive for results and able to deal with uncertainty and complexity.

ทักษะ:

node.js, Golang, Python

ประเภทงาน:

งานประจำ

• Lead and mentor a team of engineers, fostering a collaborative, high-performance environment.
• Partner with product managers to understand user needs and align the team s efforts with product goals.
• Design, develop, and maintain software systems across the stack (frontend, backend, mobile, and infrastructure).
• 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

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:

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:

8 ปีขึ้นไป

ทักษะ:

Data Analysis, Tableau, Excel

ประเภทงาน:

งานประจำ

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