เงื่อนไขการค้นหา

ประเภทงาน:

งานประจำ

• Develop Go to Market plan and implement marketing strategies and campaigns to drive subscribers and revenue.
• Define the target audience and key messages to effectively reach and engage the target audience.
• Manage all marketing materials displayed across all broadcast platforms on AIS PLAY and create engaging marketing content, including match day, big matches, fixtures, results as well as develop interesting and viral topics.
• Stand by and handle all urgent changes.
• Prepare crisis management plans for different scenarios to ensure real-time response and action for both internal and external.
• Design the customer journey, manage end-to-end implementation, and ensure successful deployment.
• Manage all sales channels efficiently, delivering sales support information, materials to support sales team, or incentives program when needed.
• Monitor sales performance, prepare reports, and analyze data to ensure targets are met and optimize future marketing initiatives.
• Motivate and maintain relationships with partners and work closely with them.
• Work closely with cross-functional teams, including communication, public relations, social media, technical, and internal designers.
• Manage the budget effectively to ensure marketing initiatives are executed within allocated resources.
• A degree in Marketing, Business Administration, Sports Management, or a related field.
• Proven experience in marketing 4-5 year, especially within the sports industry.
• Ability to plan and execute campaigns that drive revenue and fan engagement.
• Deep understanding of the football audience, culture, fan behavior.
• Creative, strategic thinker with a passion for football to create engaging marketing campaigns or promotions.
• Knowledge of the clubs, players, and commercial of the football league.
• Experience in social media marketing, sport KOLs/influencers, content creation, sport online campaigns to effectively reach audiences.
• Strong written and verbal communication skills for dealing with cross-functional teams.
• Proficiency in Microsoft Office (Word, Excel, PowerPoint).
• Proactive, self-motivated, and eager to learn.
• Excellent organizational and time management skills.
• Excellent command of English, both written and spoken.
• Knowledge or skills in using AI is an advantage..
• Position No.2: Senior Sport and content Marketing officer.
• Execute marketing campaigns to drive subscribers and revenue.
• Define the target audience and key messages to effectively reach and engage the target audience.
• Manage all marketing materials displayed across all broadcast platforms on AIS PLAY and create engaging marketing content, including match day, big matches, fixtures, results as well as develop interesting and viral topics.
• Manage all sales channels efficiently, delivering sales support information, materials to support sales team, or incentives program when needed.
• Work closely with cross-functional teams, including communication, public relations, social media, technical, and internal designers.
• A degree in Marketing, Business Administration, Sports Management, or a related field.
• Proven experience in marketing 2-3 year, especially within the sports industry.
• Ability to plan and execute campaigns that drive revenue and fan engagement.
• Deep understanding of the football audience, culture, fan behavior.
• Creative, strategic thinker with a passion for football to create engaging marketing campaigns or promotions.
• Knowledge of the clubs, players, and commercial of the football league.
• Experience in social media marketing, sport KOLs/influencers, content creation, sport online campaigns to effectively reach audiences.
• Strong written and verbal communication skills for dealing with cross-functional teams.
• Proficiency in Microsoft Office (Word, Excel, PowerPoint).
• Proactive, self-motivated, and eager to learn.
• Excellent organizational and time management skills.
• Excellent command of English, both written and spoken.
• Knowledge or skills in using AI is an advantage..
• To apply, click this link or copy this URL: https://ais.wd3.myworkdayjobs.com/Careers/job/Bangkok/Sport-Marketing-Specialist_R25016514.

ทักษะ:

Contracts, Compliance, Production planning

ประเภทงาน:

งานประจำ

• Identify, evaluate, and negotiate the acquisition of local and international sports content (live and non-live).
• Build relationships with rights holders, agencies, and content partners.
• Analyze viewership data and market trends to inform acquisition strategy.
• Manage content licensing contracts, renewals, and compliance.
• Programming.
• Plan and maintain sports content schedules across TV and OTT platforms.
• Coordinate scheduling to align seasonality, tournaments, and strategic priorities.
• Maximize content exposure and viewer engagement through programming optimization.
• Production.
• Oversee live broadcast and studio production planning for sports content.
• Liaise with production vendors and internal teams to ensure quality and timely delivery.
• Manage post-production timelines and editorial packaging for VOD and replay content.
• Cross-functional Collaboration.
• Work closely with marketing, analytics, legal, and platform teams to ensure content success.
• Support promotional campaigns, social media highlights, and platform UX/content positioning.
• Bachelor s degree in media, business, sport management, or related field.
• 5+ years of experience in sports content acquisition, programming, or production..
• Strong knowledge of both local and international sports markets and rights landscapes.
• Experience in negotiating and managing content rights.
• Excellent organizational and communication skills, with attention to detail.
• Comfortable working under pressure, especially around live events.
• Experience in both linear TV and OTT content management.
• Familiarity with rights management systems, content planning tools, or production workflows.
• Passion for sports and awareness of emerging digital trends.
• Position No.2: Sport Content Programming and Production Specialist.
• Responsible for planning, curating, scheduling, and overseeing the production of live and non-live sports content across broadcast and digital platforms. Ensures alignment with audience interest, rights agreements, and platform strategies..
• Develop and manage weekly/monthly sports content schedules across platforms.
• Work closely with rights holders to ensure compliance with licensing terms and delivery timelines.
• Coordinate with internal teams and external production partners on live event coverage, highlight edits, and studio shows.
• Curate compelling sports programming line-ups based on audience trends, seasonality, and strategic priorities.
• Monitor performance metrics (e.g., viewership, engagement) and optimize content strategy accordingly.
• Collaborate with marketing and social media teams to promote sports content.
• Ensure quality control across all delivered content.
• Bachelor s degree in media, communications, sports Management, or related field.
• 5+ years of experience in content programming or production, ideally in sports media.
• Strong understanding of local and international sports (e.g., football, tennis, golf, motorsports, etc.).
• Excellent planning, communication, and project management skills.
• Ability to work under pressure, especially during live events or tight delivery schedules.
• Familiarity with content rights, production workflows, and broadcast/digital distribution.
• Experience working with OTT platforms or multi-channel video programming.
• Knowledge of editing software, content management systems, or broadcast scheduling tools.

ทักษะ:

Data Analysis, Finance, SQL, English

ประเภทงาน:

งานประจำ

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

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:

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:

Statistical Analysis

ประเภทงาน:

งานประจำ

• Experience in Chemical process preferably Ni+Au plating on OFC copper.
• Experience in transferring new technologies to manufacturing is required.
• Experience directly applying DOE, statistical methods.
• Experience in designing production equivalent rapid prototypes.
• Has experience working on cross functional technical teams and has the capability of providing coordination among groups or functions.
• Decision Making - Required to make data driven decisions on technical issues.
• Knowledge of DOE s, Statistical analysis of data & SPC is desired.
• Six Sigma Green Belt certification or equivalent experience implementing continuous improvement projects.
• WE VALUE.
• Systematic planning, execution, and documentation.
• Open mind and quick learning.
• Strong communication skills.
• Ability to work with inside cross-functional and cross-region teams.
• The Future Is What We Make It at Honeywell. From sustainable aviation fuel and life-saving healthcare sensors to collaborating on every NASA space mission since the 1950 s, over 100 years of innovation has always been driven by an investment in our people. Learn more about Honeywell: https://www.youtube.com/watch?v=CG-rmG0eKLk.
• Discover More.
• Start your career by making an impact and real connections with some of the most meaningful challenges around. When you join Honeywell, you become a member of our performance culture comprised of diverse leaders, thinkers, innovators, dreamers, and doers who are changing the future.
• Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
• For more information on how we process your information in the job application process, please refer to honeywell.com/us/en/privacy-statement.
• If a disability prevents you from applying for a job through our website, e-mail [email protected] No other requests will be acknowledged.
• Copyright 2025 Honeywell International Inc.
• Additional Information.
• JOB ID: HRD262986.
• Category: Engineering.
• Location: 32 Moo 8 Srirachi, Chonburi Industrial Estate,Chonburi,BANGKOK,20110,Thailand.
• Exempt.

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:

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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

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.