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Experience:

2 years required

Skills:

Python, SQL, Tableau, Quantitative Analysis

Job type:

Full-time

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

Skills:

Project Management, SQL, Python, English

Job type:

Full-time

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

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• 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.

Experience:

8 years required

Skills:

Product Development, GMP, English

Job type:

Full-time

• Deliver a compliant Thailand Healthcare business.
• Collaborate with Thailand leadership team on broad business & organization matters.
• Lead local registration strategy and planning for base business & new product development to support business objectives and deliver timely approvals.
• Build and maintain robust network with regulatory authorities. Engage them in timely manner to ensure smooth approvals.
• To ensure a robust submission dossier meeting the most current requirements is prepared in a timely manner.
• Manage internal & external approval process of new pack materials, POSM and advertisement materials.
• Ensure all relevant regulatory systems and databases are maintained up to date.
• Actively participate in cross functional meetings or coordination meetings for projects regionally and globally.
• To stay updated with the upcoming changes in regulatory legislation and guidelines and define impact to business.
• Negotiate and take a lead in driving long term external advocacy in partnership with Government Relations and relevant industry associations.
• Job Qualifications.
• Graduate with degree (Bachelors/Masters) in Pharmacy. Registered pharmacist is required.
• Having minimum 8 years experience in regulatory associated with Consumer Health products. Extended experience and knowledge with focus on OTC medicines and health supplements will be advantageous.
• Demonstrated experience dealing with and influencing related government agencies, i.e.: Thai FDA towards successful regulatory outcomes.
• Knowledge and experience in GMP, GDP regulations will be an advantage.
• Communication Skills - Able to clearly present information to non-technical leadership teams through the spoken word. Able to write and speak clearly and effectively in English to the team.
• Decision Making & Problem Solving - Able to take action in solving problems while exhibiting judgement and a realistic understanding of issues, able to use reason, even when dealing with emotional topics.
• Policy and Procedures - Able to relate to routine operations in a manner that is consistent with established policies and procedures.
• Analytical Skills - Able to use a systematic approach in solving problems through analysis of problem and evaluation of alternate solutions.
• Proficient in English- both written and oral.
• Proficient in Computer systems.
• Job Schedule.
• Full time
• Job Number.
• R000118013
• Job Segmentation.
• Experienced Professionals (Job Segmentation)

Skills:

Industry trends, Statistics, Python

Job type:

Full-time

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

Experience:

3 years required

Skills:

Microsoft Azure, SQL, UNIX, Python, Hadoop

Job type:

Full-time

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

Skills:

Research, Statistics, Python, English

Job type:

Full-time

• 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.

Job type:

Full-time

• Collect and organize data from various sources, Ensure the accuracy, completeness, and consistency of data for analysis
• Maintain and update datasets, ensuring that they remain current and relevant.
• Apply statistical techniques and data analysis methods to interpret complex datasets.
• Identify trends, patterns, correlations, and anomalies within the data that can inform business decisions.
• Use data visualization tools (e.g., Tableau, Power BI, or Excel) to create interactive charts, dashboards, and graphs that present key insights.
• Communicate findings clearly through visual representation, making complex data easier to understand for non-technical stakeholders.
• Prepare and present reports summarizing data analysis, trends, and recommendations.
• Create regular performance reports, including key performance indicators (KPIs), to track business performance.
• Identify business problems that can be addressed through data analysis.
• Provide actionable insights and recommendations to improve business processes, performance, or strategy.
• Work closely with other departments (e.g., marketing, sales, finance, operations) to understand their data needs and provide analytical support.
• Collaborate with data scientists, business analysts, or IT teams to ensure data is captured, processed, and analyzed correctly.
• Continuously improve analytical processes and methodologies to increase efficiency and accuracy.
• Other job which may assign by Asst. Manager / HOD.
• Problem solving skills
• Negotiations skills
• Time management skills
• Familiar with any management system
• Advanced skills in operating computer office programs
• Good command of English and be able to correspondence with oversea
• Good personality, diligent, willing to work hard, self responsibility and honest.

Experience:

5 years required

Skills:

Statistics, Finance, Risk Management

Job type:

Full-time

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

Skills:

Big Data, Research, Statistics

Job type:

Full-time

• 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.

Experience:

4 years required

Skills:

Statistics, Python, SQL

Job type:

Full-time

• 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.

Skills:

Automation

Job type:

Full-time

• Lead cross-functional projects using data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics to support key business decisions.
• Examine, interpret and report results of analytical initiatives to management, product, marketing and sales team.
• 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.

Skills:

Digital Marketing, Industry trends, YouTube

Job type:

Full-time

• You will work with high-profile, recognized client sites, where a small change can make a big impact.
• As part of a high-performance team, who have years of experience in successfully delivering SEO various regions of the world, you have the opportunity to further increase your knowledge while also being a key player in how we continue to grow.
• We are in a period of strong growth, which means that there is support for development of new products and services. If you have an entrepreneurial spirit, now is the t ...
• Measures of success -.
• Take ownership of existing projects and clients.
• Gain understanding of existing processes and tools to ensure successful deliver of client work.
• Develop relationships with key stakeholders within assigned Agency.
• Train and further develop existing team members on advanced SEO strategy development.
• Deliver growth in Agency revenue towards meeting targets.
• Build upon and improve efficiencies in developing client deliverables.
• Train and further develop existing team members on advanced SEO strategy development.
• Client retention and growth of Agency to meet and exceed revenue targets.
• Fully managing all assigned clients requiring only high level oversight from Director on client s day-to-day activities.
• Train and further develop existing team members on advanced SEO strategy development.
• Client service.
• Ensure high level of service are delivered from all SEO projects team member working on.
• Ensuring all projects are delivered to a professional standard and in line with the agreed timings.
• Strategy.
• Supporting the development of the optimal owned media strategy and owned media activation for clients based on their budgets, target audience and KPIs.
• Ensure owned media planning approach consider multiple platforms like web, social, apps and marketplaces.
• Providing analysis, audit and plan using a combination of resources include search, social, content, audience auditing tool.
• Providing on-page and off-page (content marketing) strategy and coordination with team to deliver best-in-class SEO projects.
• Planning and Performance.
• Provide project planning timeframe and response to client briefs.
• Regular monitor content on the client s site and as well as content marketing plan delivery.
• Supporting the development of client target and ensuring content marketing implementation achieves the KPIs set out at the campaign planning stage.
• Team Management.
• Line-management of all individuals within team including making sure timesheets are complete, signing off holiday, illness and conducting appraisals and objective setting.
• Study and find new insights in an ever evolving digital marketing.
• Coaching, training, progression and personal development of all team members.
• Running regular status meeting with agencies teams to ensure campaign activity is progressing as planned and that there is appropriate communication to the client from across the account team.
• Relationship.
• Respected business-led relationship with direct team members, ability to both professionally nature and critique team members.
• Strong collaborative relationship with lead members of both Business team, client s web development.
• Working relationship with business planning team as and when appropriate, in order to understand paid content marketing plan and execution.
• Working relationship with peers within [m]PLATFORM Services who manage other channel disciplines (Paid Search, Paid Social, Display and E-commerce).
• Friendly, professional relationship with all clients.
• Collaborative relationship with third-party agencies.
• Positive relationships with suppliers and creation of new initiative to continue service expansion.
• Have a habit to catch up SEO industry trends, movement and ecosystem changes which may related to SEO campaign performance.
• Must be keen in learning other search engine mechanics such as, Youtube Search, Ecommerce Search and internal website search algorithm.
• Have abilities to use and utilize SEO tools including Google Search Consoles, Google Webmaster tool, Google keyword planner, Ahrefs, DeepCrawl, MOZ, SerpBoo Etc.
• Deep familiarity with the core strategies used for SEO, in particular technical optimization, as well as keyword research, content, linking, digital asset optimization etc.
• Ability to work face-to-face with client teams is essential.
• Web analytics experience is essential. Advanced configuration and analysis experience/certifications are desirable.
• Web Development Skills - HTML, CSS, JavaScript and server-side scripting languages.
• Understanding of common web server technologies, and popular content management systems, their limitations and how to work within these to achieve SEO requirements.
• About mPlatform.
• m]PLATFORM is an advanced technology suite of flexible media planning applications, data analytics and digital services. The platform will improve advertisers ability to use audience defining insights from hundreds of data sources to find and communicate with their consumers across all media. [m]PLATFORM makes it possible for media planners at GroupM agencies to use the most detailed consumer data to achieve results for their clients. It is supported by a team of data scientists, technologists and digital practitioners from across GroupM specialist companies and Xaxis. [m]PLATFORM unifies data analytics and digital services including search, social, mobile, digital ad operations and programmatic into one team delivering a completely open and fully transparent data and technology architecture.
• For more information, visit https://www.groupm.com/tags/mplatform About Thailand.
• In a population of 66 million people, Thailand s mobile penetration is at a whopping 137% with smart phone penetration at 61%. Digital spend has grown 18% year-on-year since 2016 and most people are now accessing the internet via mobile devices. Bangkok is one of the top Facebook cities in the world and Thailand ranks high in time spend viewing YouTube.
• The audience fragmentation, following years of a virtual FTA TV duopoly, is creating huge trading and content opportunities. Thailand is one of the fastest-growing media and marketing communication markets in the region. Those looking for a rewarding and dynamic career in media have no better place to be than Thailand.

Skills:

SQL, Data Warehousing, ETL, English

Job type:

Full-time

• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Retrieve, prepare, and process a rich data variety of data sources.
• Apply data quality, cleaning and semantic inference techniques to maintain high data quality.
• Explore data sources to better understand the availability and quality/integrity of data.
• Gain fluency in AI/ML techniques.
• Experience with relational database systems with expertise in SQL.
• Experience in data management, data warehousing or unstructured data environments.
• Experience with data integration or ETL management tools such as Talend, Apache Airflow, AWS Glue, Google DataFlow or similar.
• Experience programming in Python, Java or other equivalent is a plus.
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, Google DataStudio, Google Analytics or similar.
• Experience with Agile methodology and Extreme Programming is a plus.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Good communication in English.

Skills:

Big Data, Java, Python

Job type:

Full-time

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

Skills:

SQL, Research, Java

Job type:

Full-time

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

Skills:

Assurance, node.js, Golang

Job type:

Full-time

• Design, develop, and execute manual and automated test cases to validate software functionality, performance, scalability, and reliability.
• Collaborate with product managers and developers to understand user needs and define test plans that ensure high-quality software delivery.
• Experiment with and implement innovative testing methodologies, tools, and frameworks to improve testing efficiency and effectiveness.
• Develop and maintain automated testing suites for web, mobile, and API testing using tools like Jest, Playwright, Patrol, and Swagger.
• Validate user interfaces for usability and accessibility across frameworks like React (Next.js) and Svelte (SvelteKit).
• Test backend services built with Node.js, Golang, Elixir, or Python for performance and reliability.
• Contribute to the quality assurance of mobile apps developed using Flutter.
• Collaborate with DevOps teams to ensure infrastructure stability through automated performance and load testing.
• Review code and testing strategies, offering and receiving constructive feedback.
• Advocate for and implement high-quality testing practices, including unit, integration, and end-to-end tests.
• Monitor and report on key product quality metrics, identifying trends and areas for improvement.
• Experience with testing tools like Jest, Playwright, Patrol, or Swagger.
• Familiarity with backend APIs, databases (e.g., PostgreSQL), and testing them for scalability and performance.
• Proficiency in scripting or programming languages for test automation (e.g., JavaScript, Dart).
• Familiarity with CI/CD pipelines and source control tools like GitHub.
• Knowledge of Docker, Kubernetes, and cloud platforms (GCP, AWS) for performance and integration testing.
• Strong communication skills and a collaborative mindset to thrive in Agile environments.
• A scientist mindset curious, experimental, and open to learning from failure.
• A focus on making the product successful by identifying and eliminating defects early in the development process.
• Self-motivation, adaptability, and a team-oriented attitude.
• Preferred Qualifications We re especially excited if you bring:Proven expertise in automated testing frameworks for web, mobile, and API testing.
• A strong passion for delivering high-quality software that meets user expectations.
• A deep understanding of quality metrics and how they drive product success.
• Strong system analysis skills to design effective and efficient test strategies.
• A proactive approach to identifying potential issues and opportunities for improvement.
• 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

Skills:

Compliance, DevOps, Docker

Job type:

Full-time

• Design, implement, and manage scalable, secure, and resilient cloud-based infrastructure using platforms like GCP and AWS.
• Automate infrastructure provisioning and management using tools like Terraform, Pulumi, Ansible, or similar.
• Build and optimize CI/CD pipelines to enable seamless and reliable code deployment using tools like ArgoCD or similar.
• Monitor and ensure the performance, availability, and reliability of production systems using observability tools like SigNoz.
• Collaborate with software engineers to design and deploy microservices architectures, ensuring they are robust and maintainable.
• Enhance security measures across infrastructure, ensuring compliance with industry standards and best practices.
• Troubleshoot and resolve complex infrastructure and application issues in production environments.
• Drive cost optimization and resource efficiency across cloud environments.
• Advocate for and implement high-quality testing practices, including automated testing for infrastructure.
• Stay up-to-date with emerging technologies and practices in DevOps and cloud infrastructure.
• 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:Experience with cloud platforms like GCP (main) and AWS, including core services (compute, storage, networking, etc.).
• Expertise in containerization technologies like Docker and orchestration platforms like Kubernetes.
• Proficiency in Infrastructure as Code (IaC) tools such as Terraform or Pulumi.
• Strong knowledge of CI/CD tools and workflows (e.g. GitHub Actions, ArgoCD).
• Familiarity with observability tools (e.g., Prometheus, Grafana, SigNoz, ELK stack).
• Understanding of networking fundamentals, including DNS, load balancing, and firewalls.
• Strong scripting and automation skills using Python, Bash, or similar.
• Experience with database management and optimization, particularly PostgreSQL or other relational or non-relational databases.
• A commitment to security best practices, including vulnerability assessment and incident response.
• In addition, you should:Have a systems-thinker mindset curious, experimental, and open to learning from failure.
• Possess strong communication skills and thrive in collaborative Agile environments.
• Have a scientist mindset curious, experimental, and open to learning from failure.
• Preferred Qualifications We re especially excited if you bring:Advanced experience with Kubernetes, including building and managing complex and multi-region clusters.
• Expertise in designing and implementing microservices architectures.
• Hands-on experience with advanced monitoring, logging, and tracing techniques.
• Strong understanding of security protocols, identity management, and compliance frameworks.
• A passion for driving efficiency, automation, and innovation across all aspects of infrastructure.
• Proven ability to make logical, long-term trade-offs and decisions in system design.
• An eagerness to mentor and guide team members while promoting a DevOps culture.
• 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

Skills:

node.js, Golang, Python

Job type:

Full-time

• 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

Experience:

8 years required

Skills:

Data Analysis, Tableau, Excel

Job type:

Full-time

• 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.