เงื่อนไขการค้นหา

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:

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:

Statistics, Data Analysis, SQL

ประเภทงาน:

งานประจำ

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

ทักษะ:

Digital Marketing, Statistics, Python

ประเภทงาน:

งานประจำ

• Drive clear and effective business translation of AI/ML products between business and technical stakeholders.
• Design, develop and leverage Advanced analytics, Artificial Intelligence (AI) and Machine Learning (ML) models to support digital marketing, MarTech, AdTech, and hyper-personalization initiatives.
• Analyze Big Data to develop effective predictive and recommendation models.
• Collaborate closely with Product Owners, IT teams, and Data teams to implement AI solutions that improve marketing campaign performance.
• Continuously refine and enhance AI models through testing and performance evaluation.
• Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/MLprojects..
• Bachelor s Degree or higher in Computer Science, Computer Engineering, Data Science, Statistics, or any related field.
• Minimum of 2 years in AI/ML engineer, cloud solution or a related field.
• Proficiency in some of the following: Python, PySpark and SQL etc.
• Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus.
• Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
• Ability to communicate and collaborate with cross-functional teams.
• Growth mindset and openness to continuously learning and facing new projects and new technologies.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

Python, SQL

ประเภทงาน:

งานประจำ

• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai
• We seek a skilled Data Scientist to enhance banking through advanced analytics and machine learning. Main responsibility will be transformed complex data into actionable insights and models for risk management, fraud detection, and customer experience optimization. Collaborate with cross-functional teams to implement data-driven strategies that improve business performance and risk management.
• Data Analysis and Modeling
• Develop predictive models for risk assessment and market analysis.
• Design machine learning algorithms for classification, regression and fraud detection.
• Create automated systems for customer behavior analysis.
• Strategic Leadership
• Identify opportunities for data-driven solutions with stakeholders.
• Present analytical findings to executive management.
• Education and Experience
• Bachelor s Degree or higher in Computer Science, Statistics, Mathematics, Engineer or related field.
• Minimum 2 years of experience in financial data science.
• Technical Skills
• Proficiency in Python, and SQL.
• Strong data analysis skills.
• Solid understanding of statistical analysis and modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Domain Knowledge
• Understanding financial markets and banking operations.
• Financial modeling and quantitative analysis expertise.
• Understanding basic fraud detection and anomaly detection.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

Product Development, Statistics, English

ประเภทงาน:

งานประจำ

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

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:

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).

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:

Power BI

ประเภทงาน:

งานประจำ

• Project Portfolio Management: Oversee and track the execution of strategic projects across BIC and key business units, ensuring alignment with executive priorities.
• Executive Coordination: Engage with the top executives and other senior stakeholders as needed, preparing updates, key messages, and decision points while maintaining strict timelines and clarity.
• PMO + PM Hybrid Role: Take full ownership of project planning and execution tracking; support both the PMO governance function and project-level delivery, including mil ...
• Follow-Up and Accountability: Proactively follow up with internal teams (Analysts, BI Developers, Data Scientists, Data Engineers) and external departments (e.g., Commercial, Supply Chain, Operations, DC, Customer, etc.) as well as related stakeholders outside the team to ensure timely delivery.
• Cross-Functional Coordination: Act as a central coordination point between all involved parties - internal BIC teams, other corporate functions, and external partners - to drive alignment and follow-through.
• Meeting Management: Coordinate and facilitate cross-functional meetings, ensure pre-read readiness, document key discussions, and assign and monitor next steps.
• Presentation Development: Support the team in structuring and developing executive-level presentations and dashboards, ensuring they are clear, insightful, and professional.
• Urgent and Ad-Hoc Initiatives: Be available for last-minute requests and special assignments directly from senior executives, occasionally outside standard working hours.
• Process Improvement: Continuously evaluate and improve project tracking and governance frameworks to enhance visibility, accountability, and delivery speed.
• Stakeholder Engagement: Collaborate effectively with all levels of the organization, from analysts to senior directors and C-level leaders, including departments outside of BIC.
• Bachelor s degree in Business Administration, Project Management, or related field (Master s degree or PMP certification is a plus).
• 5+ years of experience in project or program management, preferably in retail, FMCG, or high-pressure corporate environments.
• Strong ability to drive cross-functional execution and follow-through.
• Exceptional communication and presentation skills; confident interacting with C-level executives.
• Detail-oriented with strong organizational and problem-solving skills.
• Familiarity with business intelligence, dashboard development, and KPIs is a plus.
• Experience in high dynamic environments with frequent changes in priorities.
• Strong proficiency in MS Office and project management tools (e.g., Smartsheet, Trello, Asana).
• Power BI development or familiarity is an advantage.
• 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:

Python, SQL

ประเภทงาน:

งานประจำ

• ปฏิบัติงานยัง บริษัท Infinitas by Krungthai
• We are seeking a Data Scientist specializing in credit decision engine development to drive data-driven lending decisions and risk assessment. The ideal candidate will combine strong analytical skills with deep understanding of credit process.
• Model Development & Deployment
• Develop and maintain credit risk assessment and lending decisions modules
• Expertise for handling large financial databases and credit data manipulation
• Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask,
• Fast API) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies
• Monitor model performance to ensure high accuracy and reliability in credit decisions Data Analysis & Risk Assessment
• Clean and preprocess financial datasets, particularly credit lending and risk data
• Conduct advanced statistical analyses to support risk assessment and lending decisions.
• Technical Skills
• Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn)
• Experience with cloud platforms (AWS,GCP) for model deployment
• Knowledge of statistical and machine learning techniques for risk modeling Domain Expertise
• Understanding of credit lending and risk assessment principles
• Experience in financial data analysis within regulatory constraints
• Proven track record in developing credit decision engines (optional)Education & Experience
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field
• Minimum 3 years experience in retail lending or similar role Additional Requirements
• Strong communication skills for presenting complex findings and process flow to management
• Experience with data visualization tools (Tableau, Power BI)
• Ability to work collaboratively with cross-functional teams.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

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.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Data Analysis, Digital Marketing, Industry trends

ประเภทงาน:

งานประจำ

• Department: Information Technology.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Perform large-scale data analysis and develop effective statistical model for time series, segmentation, classification, pattern recognition, optimization, etc. on digital data (e.g., Web, App, Line, other media platform etc.).
• Develop, build and test statistical and computational models that serve as a key input for digital marketing tools.
• Identify actionable insights and suggest recommendation for data-driven marketing campaigns.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Interact and collaborate with product and marketing managers to provide impactful analysis and insights that align with business objectives.
• Work closely with other BI functions, data analyst and campaign operations to provide end-to-end analytical solutions and proactively create and test decision rules for digital marketing campaigns.
• Collaborate with internal teams on defining population segments to support personalized consumer experiences.
• Provide business requirements and collaborate with internal teams on data capture strategy that will support advanced analysis and insights on consumer behavior.
• Provide ongoing insight into industry trends in web & app analytics, site optimization, and customer segmentation.
• 1-3 years of experience in Data Scientist for solving analytical problems using quantitative approaches.
• Excellent understanding of fundamentals of statistics.
• Advanced in Python.
• Strong experimental design and analysis skills.
• Familiar with time series analysis, forecasting, and machine learning techniques, previous hands-on experience is a plus.
• Ability to manipulate and analyzing complex, high-volume, high-dimensionality data from varying sources.
• Ability to communicate complex analysis in a clear, simple, and actionable manner.
• Working knowledge of SQL and relational databases and analysis tool.
• ประสบการณ์ 2 ปีขึ้นไป.
• จำนวน 1 อัตรา.

ทักษะ:

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:

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.

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:

8 ปีขึ้นไป

ทักษะ:

Digital Marketing, Quantitative Analysis

ประเภทงาน:

งานประจำ

• Digital Transformation & Strategy: Helping clients rethink the impact of digital on their business and accelerate their transformation efforts.
• Emerging Technology Topics Advisory: including Cloud, Blockchain/Crypto/DeFi, Metaverse/Web3* Customer Centricity: Reinventing the customer experience, leveraging journey maps, deep customer empathy, and data to create transformative digital interfaces, marketing strategies, and process innovations.
• Digital Marketing & Personalization: Optimising digital marketing programs across al ...
• Big Data & Analytics: Driving transformational value through cutting-edge applications of AI and Machine Learning tools that are fully scaled into the business.
• New Ways of Working: Building ongoing organisational change capabilities, and helping clients transform into digital enterprises that continue to develop and innovate with speed, at scale.
• Transformation of the Technology Function and Technology Build: Redesigning technology functions to improve flexibility, efficiency, and Business-IT alignment.
• What You'll Bring.
• A minimum of 8 years of work experience; of which at least 3 years in strategy consulting environment and demonstrated experience leading a team of consultants in driving large-scale digital transformation projects and advising clients on a range of technology topics.
• History of building credibility and relationships with leaders, technical and non-technical people to align on strategy, inspire stakeholders, and execute on a day-to-day basis. The ability to work with and lead multi-disciplinary teams including engineers, architects, data scientists-or whatever is required to solve the client's challenge-will be vital to success.
• Advanced quantitative analysis, solid business acumen and problem- solving ability.
• Established record of driving digital transformation and topics with value creation in mind.
• Excellent communication skills; able to explain complex industry concepts in non-technical terms.
• Bachelor's degree preferably in an IT/Computer Science, Engineering or related discipline.
• MBA, Masters or PHD will be highly regarded.
• Flexibility to travel within SEA region.
• Additional info.
• What Can A Career At BCG Offer You?.
• An opportunity to innovate and change: We have a legacy of developing deep insights and game-changing ideas and our case teams take ideas from all levels in order to deliver breakthrough insights to our clients.
• Training and mentoring: We embed mentorship and apprenticeship throughout your time at BCG. You will have a support system of career development advisors, the guidance of project leaders, and partnership with your colleagues and teammates at every turn.
• A collaborative approach: You will join a growing team of talented individuals, operating and learning from people with a diverse and broad set of backgrounds.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

ทักษะ:

Digital Marketing, Quantitative Analysis

ประเภทงาน:

งานประจำ

• Digital Transformation & Strategy: Helping clients rethink the impact of digital on their business and accelerate their transformation efforts.
• Emerging Technology Topic Advisory: including Cloud, Blockchain/Crypto/DeFi, Metaverse/Web3.
• Customer Centricity: Reinventing the customer experience, leveraging journey maps, deep customer empathy, and data to create transformative digital interfaces, marketing strategies, and process innovations.
• Digital Marketing & Personalization: Optimising digital marketing programs across all digital channels and levers, including precision marketing, and analytics-enabled, one-to- one personalization.
• Big Data & Analytics: Driving transformational value through cutting-edge applications of AI and Machine Learning tools that are fully scaled into the business.
• New Ways of Working: Building ongoing organisational change capabilities, and helping clients transform into digital enterprises that continue to develop and innovate with speed, at scale.
• Transformation of the Technology Function and Technology Build: Redesigning technology functions to improve flexibility, efficiency, and Business-IT alignment.
• What You'll Bring.
• A minimum of 2 years for Associate and 3 years for Senior Associate of full-time relevant work experience within digital fields, including product management, digital marketing & analytics, and/or designing & delivering world-class software products, in leading digital companies and/or start-ups.
• History of building credibility and relationships with leaders, technical and non-technical people to align on strategy, inspire stakeholders, and execute on a day-to-day basis. The ability to work with and lead multi-disciplinary teams including engineers, architects, data scientists-or whatever is required to solve the client's challenge-will be vital to success.
• Advanced quantitative analysis, solid business acumen and problem- solving ability.
• Established record of driving digital transformation and topics with value creation in mind.
• Excellent communication skills; able to explain complex industry concepts in non-technical terms.
• Bachelor's degree preferably in an IT/Computer Science, Engineering or related discipline.
• MBA, Masters or PHD will be highly regarded.
• Flexibility to travel within SEA region.
• Additional info.
• What Can A Career At BCG Offer You?.
• An opportunity to innovate and change: We have a legacy of developing deep insights and game-changing ideas and our case teams take ideas from all levels in order to deliver breakthrough insights to our clients.
• Training and mentoring: We embed mentorship and apprenticeship throughout your time at BCG. You will have a support system of career development advisors, the guidance of project leaders, and partnership with your colleagues and teammates at every turn.
• A collaborative approach: You will join a growing team of talented individuals, operating and learning from people with a diverse and broad set of backgrounds.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

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).