เงื่อนไขการค้นหา

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Statistics, Analytical Thinking, SQL, English

ประเภทงาน:

งานประจำ

• Partner directly with business stakeholders across Shopee Thailand to solve analytical problems and inform decision-making.
• Design and analyze experiments (A/B tests), including hypothesis formulation, metric definition, impact evaluation, and interpretation.
• Build and apply classical data science and statistical models (e.g. regression, tree-based models, forecasting) to support business use cases such as promotions, marketing, logistics, and operations.
• Deliver clear, actionable insights and recommendations through presentations and discussions with stakeholders.
• Develop lightweight data science solutions, including batch inference and API-based model usage (e.g. LLM APIs), where appropriate.
• Manage multiple projects simultaneously in a fast-paced, dynamic environment.
• Requirements: Bachelor s or Master s degree in Statistics, Data Science, Computer Engineering, Computer Science, Econometrics, or a related quantitative field.
• 2-5 years of experience in data analytics, data science, or quantitative modeling roles.
• Self-motivated with strong analytical thinking and business acumen.
• Strong foundation in probability, statistics, machine learning, and AI.
• Proficiency in SQL and Python, with solid coding skills for data manipulation, modeling, and deployment.
• Experience with experimentation and A/B testing frameworks.
• Excellent English communication skills, with the ability to independently present and discuss insights with stakeholders.
• Strong collaborator who can manage multiple priorities in a fast-paced environment.
• Experience in e-commerce, marketing data science, forecasting, or delivering LLM-driven solutions is a plus.

ประเภทงาน:

งานประจำ

• พัฒนาและปรับใช้โมเดล Machine Learning เพื่อเพิ่มประสิทธิภาพในกระบวนการผลิตและการดำเนินงานของธุรกิจ.
• วิเคราะห์ข้อมูลจากกระบวนการผลิต IOT Sensor และระบบควบคุม เพื่อสร้าง Insight ที่ช่วยลดต้นทุน และเพิ่มความปลอดภัย.
• ออกแบบและสร้าง Generative AI Models สำหรับ Use case ต่างๆ.
• ทำงานร่วมกับทีม Business เพื่อหา Use case ที่เหมาะสมเกี่ยวกับ AI/ML.
• สร้าง Pipelines เพื่อนำเข้าข้อมูลที่มีประสิทธิภาพ.
• ปริญญาตรี สาขา Data Science, Computer Science, Computer Engineer หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ 1 -2 ปี.
• Machine Learning, Deep Learning, Generative AI,.
• การจัดการข้อมูลขนาดใหญ่.
• เข้าใจการทำงานของ Visualization Tools,.
• ทักษะการทำงานเป็นทีม.
• การสื่อสารที่ดี.

ทักษะ:

Risk Management

ประเภทงาน:

งานประจำ

• We are seeking an experienced and strategic Responsible AI Specialist to spearhead our commitment to ethical AI. This pivotal role involves developing and implementing our Responsible AI Framework, establishing robust governance procedures, and ensuring compliance with all relevant regulations. You will collaborate across teams to embed ethical principles into the entire AI lifecycle, from development to deployment. As the key authority on responsible AI, you will champion awareness and best practices, shaping our approach to trustworthy and transparent AI systems.
• For the detailed scope of work.
• Develop and implement the Responsible AI Framework in alignment with organizational goals and ethical standards.
• Establish and oversee governance frameworks and procedures for responsible AI practices.
• Collaborate with cross-functional teams to integrate responsible AI principles into AI development and deployment processes.
• Monitor compliance with regulatory requirements and industry standards related to AI ethics and governance.
• Lead training and awareness programs on responsible AI practices for stakeholders across the organization.
• Act as the primary point of contact for inquiries related to responsible AI initiatives and practices.
• Own and maintain AI Model Inventory and Risk framework.
• Apply now if you have these advantages.
• Degree: Master's degree in Ethics, Law, Data Science, IT, or a related field..
• Experience: 7-10 years of experience in AI governance, compliance, or ethics, with a focus on responsible AI practices in banking and financial services..
• Strong understanding of AI ethics, governance, and regulatory frameworks.
• Excellent leadership and management skills, with the ability to influence and drive change across the organization.
• Strong analytical and critical thinking skills to assess AI systems for ethical considerations.
• Excellent communication and interpersonal skills to engage with diverse stakeholders, including technical teams and executive leadership.
• Experience in risk management and compliance, particularly in the context of AI technologies..
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (2 days in office per week).
• Unbelievable benefits such as attractive bonuses and many more..
• Apply now before this role is close. **.
• Please note that we will get in touch with shortlisted candidates only..
• FB: Krungsri Career.
• LINE: Krungsri Career.
• LINKEDIN: Krungsri.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.

ทักษะ:

Product Owner, Tableau, Statistical Analysis

ประเภทงาน:

งานประจำ

• Understand Business Needs & Define Data Requirements
• Meet with business teams to understand their challenges and goals.
• Work closely with the Data Product Owner (Data PO) to translate business needs into data requirements.
• Identify key metrics to measure success.
• Support the Data PO in documenting business needs and ensuring the right data is collected..
• Work with Data & Generate Insights
• Gather, clean, and analyze data from multiple sources to ensure accuracy.
• Identify trends, patterns, and anomalies in the data.
• Use visualization tools (e.g., Tableau) to present findings in an easy-to-understand format.
• Apply statistical analysis and basic machine learning techniques (if required)..
• Collaborate with the Data Squad
• Work side-by-side with the Data Product Owner (Data PO) to ensure data solutions align with business needs.
• Coordinate with Data Engineers to structure and optimize data pipelines.
• Align with Data Governance teams to ensure compliance and data quality.
• Engage with Data Scientists if advanced analytics or AI/ML models are needed for a project.
• Ensure all stakeholders (business teams, IT, and analytics) work together effectively..
• Support Business Users in Making Data-Driven Decisions
• Assist business teams in using self-service dashboards and reports.
• Help non-technical users understand and interpret data insights.
• Provide training and support on analytics tools..
• Present & Communicate Insights
• Summarize findings and insights in clear and structured reports.
• Support the Data PO in preparing presentations and visualizations for business decision-making.
• Share insights in a way that is simple and actionable for business teams..
• Continuously Learn & Improve
• Stay updated on the latest tools and trends in data analytics.
• Improve processes for better data efficiency and accuracy.
• Experiment with new techniques to enhance business impact..
• Apply now if you have these advantages.
• 1-4 years of experience in data analysis, business intelligence, or related fields.
• Experience working in a data-driven environment (data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation) with business stakeholders.
• Data Analysis & Visualization - Experience with Tableau, Power BI, Qlik, or other BI tools.
• SQL Proficiency - Ability to query and manipulate data efficiently.
• Basic Data Processing - Experience with data extraction, cleansing, and transformation.
• Statistical Analysis - Ability to apply basic statistical techniques for insights..
• Exposure to cross-functional teams involving data engineers, data scientists, and business users.
• Experience in banking or financial services is a plus but not mandatory.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (2 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ประเภทงาน:

งานประจำ

• The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingesti ...
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

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:

5 ปีขึ้นไป

ทักษะ:

Python, ETL, Java

ประเภทงาน:

งานประจำ

• Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
• Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
• Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
• Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
• Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
• Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
• Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
• Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
• Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
• Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
• Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
• Knowledge of data modeling principles and experience working with SQL databases.
• Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Location: True Digital Park, Bangkok (Hybrid working).

ประสบการณ์:

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:

5 ปีขึ้นไป

ทักษะ:

SQL, DevOps, Automation, English

ประเภทงาน:

งานประจำ

• Design, develop, and optimize ETL processes using Databricks to support large-scale data processing and analytics.
• Build and maintain batch and stream ETL/ELT workflows for structured and semi-structured data using data bricks and Azure Services.
• Establish integration between prem platform and azure storage to establish the incremental copy.
• Develop efficient, reusable, and version-controlled Databricks notebooks and workflows.
• Implement data transformation, cleansing, and validation logic to ensure data accuracy.
• Design and manage curated data layers supporting reporting and advanced analytics.
• Establish data quality, lineage, and governance practices across the Databricks platform.
• Collaborate with data analysts, BI developers, and data scientists to deliver analytical datasets.
• Leverage SQL/Spark for data extraction, transformation, and analysis.
• Apply strong problem-solving and debugging skills to identify and resolve issues in data pipelines and workflows.
• Migrate the reports from Traditional database to Databricks environment with optimized schema and schema structures and validate the data.
• Collaborate with cross-functional teams to ensure data integrity, performance optimization, and alignment with business objectives.
• Implement DevOps practices such as CI/CD automation and version control to streamline deployment and management of Databricks workflows.
• Your role as a leader: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Associates / Analysts / Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• Requirements:Minimum 5 - 10 years of experience.
• Possess 5 years in solution, architecting, design and development experience in enterprise/ architecture projects.
• Experienced in managing full development lifecycle phases, designing enterprise software and defining solution architectures and technology.
• Applying design concepts - Service oriented architecture, layered architectures, components, interfaces, messaging and patterns.
• Application integration service support components.
• Designing and integrating applications and SaaS solutions using technology stacks and cloud service providers, such as Microsoft (e.g. Azure, power BI,Tableau),.
• BI service support components (e.g. Data warehouse, extract-transform-load processes, databases).
• Azure Data Factory, Azure Databricks, Hadoop Exposure.
• E2E integration experience (Hybrid cloud model).
• Strong verbal and written communication, presentation and collaboration skills. Good relationship building skills are necessary, including the ability to build a rapport and communicate effectively with all levels of the customer.
• Good command over verbal and written English.
• work closely with application development and testing teams to support Data ETL build and supports project activities especially on Data and ETL platforms.
• Release Management (strong in GIT) and Azure Control M.
• Good to Have:Continued learning certifications, at least one of the following: AWS Certified Solutions Architect, Google Cloud Certified Architect, Microsoft Azure Solutions Architect,.
• Cloud [Software] Systems Engineer, Customer Solutions Engineer [Cloud / Data, Analytics/AI] or combination of experience as DevOps Engineer, Data Architect, Cloud/SaaS Software Developer.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.
• Requisition ID: 111930In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Compliance, Python, SQL, English

ประเภทงาน:

งานประจำ

• 50% to conceptualising, designing, building, and scaling Procurement GenAI/ Agentic AI agents and use-cases.
• 50% to delivering client service with focus on savings & value creation, category insights, operating model, and holistic procurement transformation.
• You will help clients reinvent procurement with digital and GenAI capabilities, unlocking step-change value, greater resilience, sustainability impact, and innovation across their value chains. This role is ideal for a procurement expert who is also te ...
• This is a global role reporting to BCG s Global Topic Leader for Procurement, and you will operate as part of our Global GenAI Procurement Team across North America, Europe, and Asia.
• Our Expert Consulting Track.
• The Expert Consulting Track (ECT) is vital to BCG s ability to successfully meet our clients demand for deep expertise and advanced technical capabilities. Experts deliver next-level impact for BCG's most complex and cutting-edge client challenges. Experts focus on developing BCG's thought leadership, commercial capabilities, and intellectual property assets; and their work is essential to our delivery model. Working as part of a multidisciplinary team to bring the best of BCG to our clients, Experts come from diverse backgrounds, with expertise often gained outside of BCG in industry, academia, or specialized consulting.
• What You'll Bring.
• Core Procurement Expertise.
• 7-12 years of experience in procurement, supply chain, digital procurement, or related fields.
• Strong fundamentals in category management, sourcing, contracting, supplier management, compliance, and risk.
• Proven track record in delivering procurement value creation and transformation programs.
• Experience in top-tier consulting firms is a strong plus.
• Experience in Procurement or Supply Chain functions of leading blue-chip or Fortune 500 companies especially within AI/GenAI-focused COEs, is an advantage.
• GenAI Technical Competencies.
• Hands-on experience building GenAI solutions, not just managing vendors - e.g., working with LLMs, knowledge retrieval (RAG), prompt engineering, agent design, workflow automation, or analytics tools.
• Ability to translate procurement processes into technical requirements and solution architectures.
• Ability to work collaboratively with engineers and data scientists, familiarity with Python, SQL, or no-/ low-code platforms will be a plus.
• Strong understanding of data readiness, governance, quality assurance, and model evaluation.
• Experience in AI-native or cloud-native companies is a strong plus, particularly in roles involving product development or applied AI.
• Consulting & Leadership Skills.
• Strong problem-solving and communication skills; ability to influence C-level stakeholders.
• Proven leadership managing teams and complex multi-workstream engagements.
• Fluency in English; proficiency in one or more SEA languages is an advantage.
• High adaptability, entrepreneurial mindset, and a passion for innovation in procurement.
• 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:

node.js, Golang, Python

ประเภทงาน:

งานประจำ

• Lead and mentor a team of engineers, fostering a collaborative, high-performance environment.
• Partner with product managers to understand user needs and align the team s efforts with product goals.
• Design, develop, and maintain software systems across the stack (frontend, backend, mobile, and infrastructure).
• Experiment with new tools, frameworks, and methodologies to discover innovative solutions.
• Optimize services for performance, scalability, and maintainability.
• Develop intuitive user interfaces using frameworks like React (Next.js) and Svelte (SvelteKit).
• Build and maintain robust backend services with Node.js, Golang, Elixir, or Python.
• Contribute to mobile app development using Flutter.
• Ensure infrastructure stability and scalability using Kubernetes, Docker, and cloud platforms (GCP, AWS).
• Take a proactive role in code reviews, offering and receiving constructive feedback.
• Advocate for and implement high-quality testing practices, including unit and integration tests.
• Collaborate with cross-functional teams to integrate new tools and technologies effectively.
• Basic Qualifications We value skills and a willingness to learn. You should have proficiency in some of the following or be eager to learn them:Backend languages (e.g., Node.js, Golang, Elixir, Python).
• Frontend frameworks (e.g., React, Svelte).
• Mobile development tools (e.g., Flutter).
• In addition, you should:Focus on making the product successful and helping users achieve their goals, not just completing tasks.
• Have experience with Docker, Kubernetes, and cloud infrastructure (GCP, AWS).
• Be familiar with CI/CD pipelines and source control tools like GitHub.
• Understand database systems like PostgreSQL.
• Have a scientist mindset curious, experimental, and open to learning from failure.
• Possess strong communication skills and thrive in collaborative Agile environments.
• Be self-motivated, adaptable, and team-oriented, with a strong work ethic.
• Preferred Qualifications We re especially excited if you bring:Proficiency in at least one backend language, one frontend framework, and mobile development tools.
• A passion for turning our vision into reality and contributing to its success.
• An eye for design and a passion for user-centric product development.
• A deep understanding of product success metrics and a drive to contribute to them.
• Strong system design skills, including the ability to make logical, long-term trade-offs.
• The ability to adapt to a fast-paced, rapidly changing environment, driven by our vision to make an impact.
• Perks & Benefits Flat Structure As we continue to grow fast, we strive to retain our culture where everyone is heard, contributes, and grows with the company..
• Work-life Harmony We believe that quality time outside of work is important to sustaining a healthy and happy lifestyle.
• Remote Work Hybrid-mode activated! It comes with the package: flexibility, focus and productivity!.
• Urban Office One breath from Phrom Phong BTS. No sweat whatsoever! The office should also feel like a second home so we dedicated a lot of care and resources into building the best environment for you to wake up to every morning.
• Fun Workshop The best relationships are built over new experiences, that s why we have workshops filled with a range of activities for you to look forward to and enjoy.
• Game Tournament It s getting fun and competitive! Challenge doesn t only have to come from work. Own the championship and show the peeps how great of a gamer (and player) you are.
• Group Insurance Health comes first, we know, don t worry, we ve got you covered.
• Health & Wellness Only a healthy army wins the war. We invest to take care of you from physical, mental and happiness-level. Adopted health & wellness applications plus activities to make sure everyone here is on cloud nine

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Tableau, Excel, Industry trends

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

SQL, DevOps, Automation, English

ประเภทงาน:

งานประจำ

• Design, develop, and optimize ETL processes using Databricks to support large-scale data processing and analytics.
• Build and maintain batch and stream ETL/ELT workflows for structured and semi-structured data using data bricks and Azure Services.
• Establish integration between prem platform and azure storage to establish the incremental copy.
• Develop efficient, reusable, and version-controlled Databricks notebooks and workflows.
• Implement data transformation, cleansing, and validation logic to ensure data accuracy.
• Design and manage curated data layers supporting reporting and advanced analytics.
• Establish data quality, lineage, and governance practices across the Databricks platform.
• Collaborate with data analysts, BI developers, and data scientists to deliver analytical datasets.
• Leverage SQL/Spark for data extraction, transformation, and analysis.
• Apply strong problem-solving and debugging skills to identify and resolve issues in data pipelines and workflows.
• Migrate the reports from Traditional database to Databricks environment with optimized schema and schema structures and validate the data.
• Collaborate with cross-functional teams to ensure data integrity, performance optimization, and alignment with business objectives.
• Implement DevOps practices such as CI/CD automation and version control to streamline deployment and management of Databricks workflows.
• Your role as a leader: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Associates / Analysts / Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• Requirements:Minimum 2 years of experience.
• Possess 2 or more years in solution, architecting, design and development experience in enterprise/ architecture projects.
• Experienced in managing full development lifecycle phases, designing enterprise software and defining solution architectures and technology.
• Applying design concepts - Service oriented architecture, layered architectures, components, interfaces, messaging and patterns.
• Application integration service support components.
• Designing and integrating applications and SaaS solutions using technology stacks and cloud service providers, such as Microsoft (e.g. Azure, power BI,Tableau),.
• BI service support components (e.g. Data warehouse, extract-transform-load processes, databases).
• Azure Data Factory, Azure Databricks, Hadoop Exposure.
• E2E integration experience (Hybrid cloud model).
• Strong verbal and written communication, presentation and collaboration skills. Good relationship building skills are necessary, including the ability to build a rapport and communicate effectively with all levels of the customer.
• Good command over verbal and written English.
• work closely with application development and testing teams to support Data ETL build and supports project activities especially on Data and ETL platforms.
• Release Management (strong in GIT) and Azure Control M.
• Good to Have:Continued learning certifications, at least one of the following: AWS Certified Solutions Architect, Google Cloud Certified Architect, Microsoft Azure Solutions Architect,.
• Cloud [Software] Systems Engineer, Customer Solutions Engineer [Cloud / Data, Analytics/AI] or combination of experience as DevOps Engineer, Data Architect, Cloud/SaaS Software Developer.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.
• Requisition ID: 112515In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

ETL, DevOps, Automation, English

ประเภทงาน:

งานประจำ

• Design, implement, and optimize end-to-end data platforms on Azure and Databricks, covering storage, compute, security, and governance.
• Design and manage curated data layers and analytical datasets to support reporting, self-service BI, and advanced analytics use cases.
• Build, maintain, and monitor scalable batch and streaming ETL/ELT pipelines using Databricks, Spark, and Azure services such as ADF and Synapse.
• Develop reusable, version-controlled Databricks notebooks and workflows, implementing robust data transformation, cleansing, and validation logic.
• Establish and enforce data quality, lineage, security, and governance practices across the Databricks platform, ensuring compliance with regulatory requirements.
• Collaborate with cross-functional teams (architects, data engineers, BI developers, data scientists, and business stakeholders) to align solutions with business objectives and drive continuous improvement.
• Establish data quality, lineage, and governance practices across the Databricks platform.
• Collaborate with data analysts, BI developers, and data scientists to deliver analytical datasets.
• Undegrading of DevOps practices such as CI/CD automation and version control to streamline deployment and management of Databricks workflows.
• Excellent stakeholder and pre-sales skills: translating requirements into architectures and leading solution design.
• Requirements:Minimum 10-12 years of experience.
• Possess 8+ years in solution, architecting, design and development experience in enterprise/ architecture projects in Azure / Databricks.
• Experienced in managing full development lifecycle phases, designing enterprise software and defining solution architectures and technology.
• Designing and integrating applications and SaaS solutions using technology stacks and cloud service providers, such as Microsoft (e.g. Azure, power BI,Tableau),.
• BI service support components (e.g. Data warehouse, extract-transform-load processes, databases).
• Azure Data Factory, Azure Databricks, Hadoop Exposure.
• Strong verbal and written communication, presentation and collaboration skills. Good relationship building skills are necessary, including the ability to build a rapport and communicate effectively with all levels of the customer.
• Good command over verbal and written English.
• Strong Azure cloud and data services design (ADLS, networking, security, Synapse, Key Vault).
• Deep Databricks lakehouse expertise (Delta Lake, Unity Catalog, Spark performance tuning).
• Advanced data engineering with Spark and Azure-native orchestration (ADF/Synapse pipelines).
• E2E integration experience (Hybrid cloud model).
• Robust data governance, security, and compliance design, especially for regulated industries.
• Continued learning certifications, at least one of the following: Microsoft Azure Solutions or Databricks.
• Cloud [Software] Systems Engineer, Customer Solutions Engineer [Cloud / Data, Analytics/AI] or combination of experience as DevOps Engineer, Data Architect, Cloud/SaaS Software Developer.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.
• Requisition ID: 112452In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Digital Marketing, Big Data, 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 5 years of work experience within strategy and digital fields, including product management, digital marketing & analytics, and/or designing & delivering world-class software products, in leading digital companies and/or start-ups.
• Established record of driving strategic digital transformation and topics with value creation in mind.
• 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.
• 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.
• Candidates with lesser experience will be considered at the Associate level.
• 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.