เงื่อนไขการค้นหา

ทักษะ:

Statistics

ประเภทงาน:

งานประจำ

• Lead the development of data solutions and delivering customer and business insights to identify business opportunities or resolve business challenges.
• Translate business problem statements into analysis requirements and work with BUs to define best business outcomes.
• Manage projects, outcomes, resources, proposed proposals or opportunities, and overall execution of the corporate exercises, to ensure effective alignment with organization objectives.
• Advise and provide recommendation on project feasibility studies and project planning, to ensure projects achievement and minimize risks.
• Coordinate with related team and functions to create mutual understanding on expectations, processes, standards, and solutions for corporate strategy activities.
• Bachelors or Masters in Data Analytics, Statistics, Computer Science, Communications or related fields.
• 10+ years of experience in a major financial with large-scale data or similar program management experience.
• At least 5 years in a management role, with board level change or transformation leadership experience.
• Advanced communications, marketing, or journalism experience.
• Good experience using business intelligence tools and data visualization best practices.
• Strong storytelling and communication skills.
• Strong analytical and problem-solving skills.
• Familiarity with data validation tools.

ทักษะ:

Statistics, Python, Power BI

ประเภทงาน:

งานประจำ

• Manage project control and design for capacity planning and expansion of Mobile Core network NEs/Nodes (EPC, IMS, HSS, DGW, Signaling Network, CS Core) for 3G/4G/5G.
• Plan Nationwide Mobile Core network components for Mass and Corporate services implementation, commissioning, and integration (EPC, IMS, HSS, DGW, Signaling Network, SBC, CS Core, NFV platform).
• Develop workflows or automated tools for maintaining Mobile Core network parameters consistently across nodes and master files.
• Collaborate with Mobile Core Architecture & Solution team to align/deploy/implement mobile core network roadmap/solutions.
• Verify and test new software & hardware, summarize SW quality, participate in Proof of Concept (PoC) projects.
• Consolidate standard KPIs, align Mobile Core statistics, set up monitoring tools, Capacity alert tools.
• Bachelor's or Master's Degree in Telecommunication or Computer/IT Engineering.
• 5-7 years of experience in Mobile Core Network Planning/Operation, particularly in Data Package Core Network.
• Experience with 3G/4G EPC Core, IP Network, Diameter & Signaling, IMS Core Network, IPV6, 5G Fundamentals, NFV.
• Programming skills supporting planning tools such as Python, Power BI, knowledge in Database, AI/ML.
• Data analytic skills preferred.
• Proactive, service-minded, and idea initiative.

ทักษะ:

Statistics, Data Analysis, SAS, English

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2.
• Experience in R studio, data modeling, hypothesis testing is a plus.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ทักษะ:

Sales, Marketing Strategy, Statistics

ประเภทงาน:

งานประจำ

• Analyze consumer behavior, market trends, and competitor data, and provide data-driven recommendations for business expansion or marketing strategy development.
• Collect sales, operational, and marketing data from internal and external sources to assess the impact of marketing campaigns and forecast business opportunities.
• Update and maintain accurate databases, and create analytical reports (Dashboards) to present data to management.
• Coordinate with marketing, sales, and other departments to gather information for analysis and address the needs of the organization.
• Bachelor's degree or higher in Data Science, Marketing, Statistics, or a related field.
• At least 2-3 years of experience in data analysis. Experience in retail business will be considered an advantage.
• Proficiency in data analysis tools such as Excel, SQL, Power BI, Tableau, or Python.
• Strong analytical skills and the ability to solve problems in a systematic manner.
• Good presentation and communication skills to convey complex information clearly.
• Attention to detail and the ability to work under pressure.
• Able to start working immediately is the priority**.

ทักษะ:

Statistics, Excel, SQL, English

ประเภทงาน:

งานประจำ

• Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
• To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
• Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
• Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
• Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
• Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
• Excellent communication skill both in Thai and English.
• Experience in programming and SQL.
• Able to work under pressure and with multiple stakeholders within limited timeline.
• Interested in new technologies / innovations.
• Master's degree in a quantitative discipline.
• At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
• Experience working on teams that managed large scale data projects.
• Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
• Conceptual, logical and physical data modeling, and data architecture knowledge.
• Visualization expertise in tools like Tableau and Power BI etc.
• PTG Energy Public Company Limited
• 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road, Huaykwang, Bangkok 10310
• www.ptgenergy.co.th.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Accounting, Analytical Thinking, Business Statistics / Analysis, English

ประเภทงาน:

งานประจำ

• จัดทำบัญชี ยื่นภาษี ปิดงบการเงินรายเดือน/รายปี ให้ลูกค้า SMEs.
• ดูแล ติดต่อ ประสานงาน และรักษาความสัมพันธ์ที่ดีกับลูกค้า.
• ร่วมกับทีมในการช่วยออกแบบ และสร้างการให้บริการบัญชีรูปแบบใหม่ช่วยให้ลูกค้าประสบความสำเร็จได้ดี.
• ร่วมกับทีมในการช่วยออกแบบ และปรับปรุงระบบการทำงาน เพื่อสร้างระบบการบริหารจัดการสำนักงานบัญชีที่ดี.
• ร่วมกับทีมในการช่วยให้ความเห็นในการพัฒนาโปรแกรมบัญชี PEAK และร่วมทดสอบการใช้งาน.
• สายงานให้บริการและให้คำปรึกษา เหมาะสำหรับคนที่ชอบเรื่องบัญชีและชอบการพูดคุย ในตำแหน่ง Accounting Software Consultant (ASC).
• แนะนำ และให้ความรู้การใช้งานโปรแกรมบัญชีออนไลน์ PEAK กับลูกค้าหลากหลายกลุ่ม.
• ให้คำปรึกษาด้านบัญชี ภาษี เทคโนโลยีในการทำบัญชี และกระบวนการทำงานให้มีประสิทธิภาพ.
• วางแผน ปรับปรุง และรายงานผลโครงการให้ความรู้ลูกค้า.
• เป็นตัวแทนของลูกค้าภายใน PEAK สื่อสารกับทีมบริหาร ทีมพัฒนาโปรแกรม และทีมอื่น ๆ.
• บริหารจัดการทีมงานและโครงการต่าง ๆ ตามที่ได้รับมอบหมาย พร้อมประสานงานกับทีมที่เกี่ยวข้อง.
• สายงานออกแบบและพัฒนาผลิตภัณฑ์ เหมาะกับคนที่ชอบนำเทคโนโลยีมาพัฒนาให้ผลิตภัณฑ์ตอบโจทย์ผู้ใช้งานมากขึ้น ในตำแหน่ง Product Owner (PO).
• ร่วมออกแบบผลิตภัณฑ์ PEAK โดยเริ่มจากการเก็บข้อมูลความต้องการ ร่างเอกสาร Product Requirement ทดสอบกับ Stakeholder และจัดทำ Product Specification.
• เข้าใจความต้องการของลูกค้าและพันธมิตร เพื่อพัฒนาผลิตภัณฑ์ที่ตอบโจทย์ทั้งภายในและภายนอก.
• เป็นตัวกลางในการสื่อสารวิสัยทัศน์ผลิตภัณฑ์ เป้าหมาย และกลยุทธ์ทางธุรกิจให้ Stakeholder เข้าใจตรงกัน.
• จัดลำดับความสำคัญของงาน โดยพิจารณาจากผลกระทบ กลยุทธ์ และต้นทุนในการพัฒนา.
• ทำงานนี้ได้พัฒนาอะไรบ้าง? .
• พัฒนาความรู้ในด้านการใช้งานเทคโนโลยี และโปรแกรมต่าง ๆ จำนวนมาก ทั้งโปรแกรมบัญชีของเราเอง และอื่น ๆ.
• พัฒนาความรู้ในด้านบัญชี และ Operation การจัดการธุรกิจ ในธุรกิจ SMEs.
• พัฒนาทักษะด้านการสื่อสาร การรับมือกับสถานการณ์ต่าง ๆ การแก้ปัญหา.
• ได้ประสบการณ์ทำงานในธุรกิจ Tech Startup ที่มีการเติบโตอย่างรวดเร็ว.
• งานนี้เหมาะกับคนแบบไหน?.
• จบการศึกษาในระดับปริญญาตรี สาขาบัญชี.
• มีความรู้ความเข้าใจหลักการ และพื้นฐานด้านบัญชี และภาษีที่ดี.
• เคยมีประสบการณ์ทำงานด้านบัญชี หรืองานธุรการในธุรกิจ SMEs หรือสำนักงานบัญชี 0 - 5 ปี (นักศึกษาจบใหม่ก็สามารถสมัครได้).
• มีจิตใจบริการ มีทัศนคติที่ดีต่อการบริการลูกค้า ใจเย็น รับฟังปัญหาของลูกค้าได้.
• มีทักษะการสื่อสารที่ดี ทั้งการพูด และเขียน ด้วยความละเอียดรอบคอบ.
• ชอบเรียนรู้สิ่งใหม่ ๆ เพราะโปรแกรมมีการอัพเดทตลอดเวลา และมีข้อมูลจำนวนมากที่ต้องรู้เพื่อช่วยแก้ปัญหาให้ลูกค้า.
• ชอบคิดหาทางแก้ไขปัญหาให้คนอื่น เหมาะกับคนที่เพื่อนชอบมาปรึกษา หรือปกติเป็นคนช่วยเพื่อนคิดแก้ปัญหาต่าง ๆ.
• มีทักษะภาษาอังกฤษในด้านการอ่าน และการฟังที่ดี.
• คนแบบไหนที่ทำงานกับ PEAK ได้ดี?.
• มี Growth Mindset หรือชอบพัฒนาตัวเอง PEAK อยากทำงานกับคนแบบนี้ เพราะพวกเรา ได้เรียนรู้ ได้สนุก และได้พัฒนาตัวเองไปด้วยกัน.
• มีความคุ้นเคย หรือชอบเทคโนโลยี เพราะ PEAK เป็น Tech Company และเราใช้เครื่องมือ Technology เป็นจำนวนมาก.
• มีความ Open Mind เปิดรับฟังความคิดเห็นของคนอื่น ๆ รอบตัว รับและเรียนรู้ข้อมูลจากแหล่งที่สามารถเชื่อถือได้.
• มีความกล้า กล้าสื่อสาร สื่อสารสิ่งที่คิด กล้าแสดงความคิดความเห็นอย่างตรงไปตรงมา กล้าที่จะเผชิญหน้ากับปัญหา เราชอบคนที่รักความท้าทายและการแก้ไขปัญหา พร้อมนำเสนอแนวทางการแก้ไขที่หลากหลาย.
• ชอบการทำงานกันเป็นทีม ร่วมทุกข์ร่วมสุขด้วยกัน ยินดีที่เห็นคนอื่นได้ดี ช่วยกันพัฒนากันและกัน.
• มีความละเอียด รอบคอบ และใส่ใจกับผลงานที่ออกมา ให้ผลงานที่ดีเป็นสิ่งที่สะท้อนตัวตน.

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 7+ years of experience in data science, machine learning, and predictive analytics, preferably in the banking or financial services industry.
• Strong expertise in Python, R, SQL, and big data frameworks (Spark, Hadoop).
• Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proven track record of developing and deploying ML models in production environments.
• Experience working with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Strong knowledge of statistical modeling, time-series forecasting, NLP, and deep learning techniques.
• Excellent problem-solving skills and ability to communicate complex data insights to non-technical stakeholders.
• Experience in credit risk modeling, fraud detection, or financial forecasting.
• Knowledge of graph analytics, reinforcement learning, or advanced optimization techniques.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. 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 the Bank. .

ทักษะ:

Statistics, SQL, Excel

ประเภทงาน:

งานประจำ

• Interpret data, analyze results that using statistical techniques and provide ongoing reports.
• Develop and implement database, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Create presentations and reports based on recommendations and findings by using graphs, infographics, and other methods to visualize data.
• Qualifications Bachelor s degree or higher in Business Analytics, Computer Science, Engineering, Statistics, or related fields.
• Proven professional experience in retail banking, consumer products, or related banking functions as a Data Analyst or Business Analyst.
• Strong knowledge and experience in SQL, Excel, Power BI, Tableau, QlikView, Business Objects, Python, R, SAS, or other business intelligence tools.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, report writing and presenting findings.
• Interested candidate, please submit your CV to [email protected] 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:

5 ปีขึ้นไป

ทักษะ:

Project Management, Finance, Statistics, English

ประเภทงาน:

งานประจำ

• Develop, maintain and monitor real time dashboard (Global dashboard) and meaningful customer segmentations and profiles.
• Monitor trends, risks and opportunities throughout the planning process to develop optimal recommendations.
• Utilize data-driven insights to identify trends, track sales performance, and provide reports and recommendations for improving sales productivity and revenue growth.
• Analyze Online channel performance and customer shopping behavior to inform marketing opportunities and campaigns.
• Partner closely with the Online KAM team and operation teams to address business intelligence and requirements.
• Cross-functional collaboration with Online Marketing, Sales and relevant members to generate insights, interpret and drive data strategy to increase customer growth and retention.
• Project management Led new and current process standardization projects and adoption of tools to enhance sales productivity and accelerate transformation ensuring alignment with Samsung strategy.
• Provide recommendations to translate strategy and drive alignment with management on implementation decisions.
• Support working process simplification and reporting consolidation by adopting a standard toolset.
• Orchestrate Online business operations to drive alignment with management on new process decisions and ensure alignment with Samsung guidelines and timeline.
• Perform ad-hoc database queries to support business needs. Runs and maintains various access databases, typically tools specific to teams or functions.
• Perform other duties assigned by supervisor/management.
• Expedite business performance with insights that accelerate performance across Online sales and operation rhythm.
• Qualifications Bachelor's degree required in Business, Economics/Finance, Engineering, Statistics, or related field.
• 5+ years of relevant experience in program management, process management or process improvement.
• Excellent attention to detail as demonstrated in accuracy, grammar, punctuation and ability to recall specific facts and a commitment to high accuracy standards.
• Ability to prioritize, multi-task and follow changing directions in a fast-paced business environment.
• The ideal candidate will be a self-starter with a passion for online business highly motivated with desire to learn new proficiency and a high level of flexibility and commitment.
• Strong dedication to problem solving and process improvements.
• Team player, personable, professional, and flexible.
• Strong communication and interpersonal skills for effective cross-functional collaborate.
• Ability to analyze large datasets.
• Ability to write comprehensive reports.
• An analytical mind and inclination for problem-solving.
• Proficiency in e-commerce platforms, content management systems, and Microsoft Office Suite.
• Fluency in English.
• Skills and Qualifications

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Research, Statistics, Finance, English

ประเภทงาน:

งานประจำ

• Develop, maintain, and calibrate existing quantitative risk models, including provisioning models and credit scoring tailored to various portfolio types and financial institutions.
• Perform both conceptual and quantitative reviews of models, including validation, using programming scripts or automated tools.
• Provide business insights on post-model adjustments, such as management overlays.
• Research risk management topics and stay updated on recent industry developments.
• Prepare comprehensive model documentation, reports, or presentations to communicate methodologies and results to clients.
• Effectively convey observations, results, thoughts, and initiatives to client stakeholders in both Thai and English through proficient presentation during virtual and in-person meetings as needed.
• Propose innovative ideas to enhance team efficiency and effectiveness.
• Collaborate with colleagues and clients across multiple countries, primarily within Southeast Asia.
• Support partners and directors in preparing client proposals under tight deadlines.
• Mentor and onboard junior staff, ensuring the delivery of high-quality work.
• You will be expected to communicate closely with senior management and client personnel; assist in proposal development; mentor and develop junior team members; and maintain up-to-date knowledge of financial risk management methodologies, current corporate governance and regulatory developments/requirements, both locally and internationally
• 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, Senior Associates / Senior Consultants / Assistant Managers across our Firm are expected to:Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.
• You are someone with:A degree, preferably in technical engineering, statistics, economics, mathematics, finance, accountancy, or a related field.
• Possess a minimum of 5 years of relevant work experience. A background in banking or financial institutions is preferred, but this can be supplemented with significant knowledge of the financial markets and banking industry.
• Strong knowledge of risk management, with a focus on one of the risk domains namely credit risk, market risk, operational risk and climate risk preferred.
• Ability to work independently and collaboratively with a diverse range of staff on qualitative and quantitative risk management in multitasking and cross-country settings.
• Proficient in data analytics or statistical analysis tools (i.e., Python and SAS), with advanced Excel skills.
• Experience in mentoring and coaching at least 2-3 junior team members.
• Proficient in business-level English, with the ability to communicate ideas and prepare professional client presentations.
• Due to volume of applications, we regret 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: 105622In 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.

ทักษะ:

Statistics, Research, Finance

ประเภทงาน:

งานประจำ

• Engage stakeholders to understand business problems and customize analytic and predictive model solutions to business needs.
• Solve problems using advanced statistical techniques including, but not limited to regression/logic regression, bootstrap, factor analysis, decision tree, clustering & binning, and basket analysis.
• Conduct exploratory data profiling techniques, common summary descriptive statistics, etc.
• Develop and maintain expertise in a wide range of new technologies, methodologies, and techniques facilitating advanced research, decision sciences, and systems engineering.
• Support the design and management of market and product experiments and pilots to test hypotheses or generate test and control observation data.
• Partner with Technology, Product Management, Engineering, Marketing, Sales, and Finance teams to deliver solutions for clients and into the operation.
• Build and lead a team of analysts, while initially serving as an individual contributor.
• Lead projects with moderate complexity.
• Engage internal customers to understand problems and customize analytic and predictive model solutions to business needs.
• Bachelor's or Master's in Mathematics, Science, Statistics or related Technical field; or Equivalent related professional experience (e.g. driving significant and sustained change and performance improvement from data-driven insights).
• Demonstrates statistical competency and requires limited supervision.
• Familiar with SQL, Python, or R, or any other major data analysis programming language.
• Experience working in the fundamentals of big data architecture (streaming events, data lakes, analytics engines) and relational database models.
• Display strong domain knowledge, business acumen, and critical reasoning skills.
• Strong skills in Excel, PowerPoint, and statistical/data processing software packages and programming languages (e.g. SAS, R, SQL, SPSS, etc.).
• Mines data sets using sophisticated analytical techniques to generate insights and inform business decisions.
• Identifies and tests hypotheses, ensuring statistical significance through experimental design and builds predictive models for business application, product development, etc.
• Translates quantitative analyses and findings into accessible visuals for all stakeholders and multiple audiences, and provide clear view into interpreting data.
• Ability to work in and among cross functional teams.

ทักษะ:

Research, Statistics, Tableau

ประเภทงาน:

งานประจำ

• Bachelor s degree in Marketing, Statistics, Business Administration, Economics, or a related field.
• Advanced degrees (Master s or MBA) in Marketing Research, Statistics, Data Science, or Business Analytics are a plus.
• 3-5 years of experience in marketing research (conducting primary and secondary research), analytics, or a related field and presenting actionable insights.
• Strong knowledge of statistics, including hypothesis testing, and statistical modeling.
• Experience with data visualization tools like Tableau, Power BI.
• Knowledge of survey platforms like Qualtrics, SurveyMonkey, or Google Forms.
• Familiarity with web analytics tools such as Google Analytics, Adobe Analytics, or similar platforms.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

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

ทักษะ:

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:

Negotiation, Contracts, Statistics

ประเภทงาน:

งานประจำ

• Forecast workload planning for the assigned distribution center and monitor the alignment of operations between Supply Chain and Logistics to ensure efficient product delivery to branches.
• Responsible for the backhaul project to reduce transportation costs by utilizing empty vehicle trips.
• Analyze P&L data to determine the Logistics Costing Model for each distribution center and identify opportunities for negotiation of DC Income.
• Analyze, plan, and control contracts for the use of distribution centers with partners in a systematic and efficient manner.
• Coordinate and negotiate DC service rates, invoicing, and contract creation with suppliers for DC services.
• Verify the accuracy of the DC Income database to ensure it is regularly updated.
• Provide support for other tasks assigned.
• Bachelor's degree in Supply Chain & Logistics, Economics, Statistics, Engineering or related fields.
• 2-5 years of experience in Logistics Costing Model or experience in Backhaul Projects is preferred.
• Experience in the retail industry or manufacturing industry is preferred.
• Strong communication and Negotiation skills.
• Good analytical thinking and problem-solving abilities.
• Persistent, committed, and responsible in handling assigned tasks.
• Proficiency in data analysis, and skilled in using Excel, Power BI.

ทักษะ:

Big Data, Research, Statistics

ประเภทงาน:

งานประจำ

• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research discover and harness new ideas that can make a difference.
• What You'll Need to Succeed.
• 4+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.
• It's Great if You Have.
• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
• Experience in NLP, image processing and/or recommendation systems.
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
• Experience in data science for e-commerce and/or OTA.
• We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ทักษะ:

Statistics, Data Analysis, SAS, English

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• Experience in digital marketing.
• Academic research experience.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ทักษะ:

Research, Statistics, Python, English

ประเภทงาน:

งานประจำ

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
• Solve complex problems on both technical and business sides using advanced analytical methods.
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capability.
• Basic Qualifications Bachelor s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark).
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical problem-solving capabilities.
• Preferred Qualifications Master s or PhD degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ทักษะ:

Data Analysis, SQL, Statistics

ประเภทงาน:

งานประจำ

• Analyze local and global trends, and provide insights to Quality Solutions and Implementation team members to improve performance of quality across TikTok products.
• Partner with Quality Solutions & Implementation, Quality Operations, and Moderation Teams to measure and provide data analysis that identifies key trends of underperformance or mismanagement of teams leading to quality failures.
• Leveraging insights, direct focus areas to drive quality improvements across our E2E quality system.
• Develop effective governance controls and monitor performance to deliver actionable data and insights.
• Create and prepare reports and dashboards to help us better identify areas of focus and trends within our ecosystem.
• Build a prediction model for identifying global trends and performance issues.
• Use statistical tools to simplify complex data sets, helping us better diagnose issues and propose solutions.
• Understand and evaluate the impact of upcoming policy/product/process changes on the operation and support the execution of these changes effectively.
• Bachelor's Degree or equivalent education.
• 2+ years of working experience in data analysis.
• Strong mathematical skills to measure, collect, analyze data and the ability to articulate insights clearly.
• Knowledge of SQL.
• Proficiency in statistics and experience using data visualization software such as Tableau, PowerBI etc.
• Attention to detail.
• Strong communicator with the ability to derive and articulate actionable insights from complex data sets.
• Preferred Qualifications.
• Any programming languages.
• Trust & Safety recognises that keeping our platform safe for TikTok communities is no ordinary job which can be both rewarding and psychologically demanding and emotionally taxing for some. This is why we are sharing the potential hazards, risks and implications in this unique line of work from the start, so our candidates are well informed before joining. We are committed to the wellbeing of all our employees and promise to provide comprehensive and evidence-based programs, to promote and support physical and mental wellbeing throughout each employee's journey with us. We believe that wellbeing is a relationship and that everyone has a part to play, so we work in collaboration and consultation with our employees and across our functions in order to ensure a truly person-centred, innovative and integrated approach. TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace.
• At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

ทักษะ:

Software Development, Energetic, Statistics

ประเภทงาน:

งานประจำ

• Own the product from concept to design, specification, implementation, and analysis.
• Gather and synthesize requirements and input from multiple stakeholders (internal product teams, engineers, business teams, etc.).
• Lead in-person conversations with internal customers to understand users, priorities, and feature considerations.
• Demonstrate strong leadership, organizational and execution skills, to drive product development projects from concept to launch, and operate in a fast- paced setting.
• Excellent leadership and communication skills. Expected to be asking questions, listening, driving team alignment, and influencing without authority across all levels of the organization.
• Bridge business and technical worlds very well, a good conceptual problem solver to articulate opportunities and solutions.
• Technical confidence. You'll need to work with senior/lead engineers to balance product velocity and technical debt tradeoffs.
• What You'll Need to Succeed.
• 3+ years technical product management experience in a fast-paced innovative environment, or significant technical management experience.
• 5+ years (in total) of technical experience in one or more areas: Software Engineering / Developer Experience - Software development innovation, engineering tooling products, developer lifecycle management across large organizations.
• Excellent interpersonal skills, energetic, and a self-starter.
• Excellent presentation skills.
• Strong organizational skills along with demonstrated ability to manage multiple tasks simultaneously and able to react to shifting priorities to meet business needs.
• Effective communicator (written and verbal). Able to communicate effectively with both business and technical teams.
• Demonstrated analytical and quantitative skills. You use data to make decisions and are comfortable gathering it yourself or working with others to gather it. (analytics, statistics, SQL, BI tools).
• A problem-solving mindset.
• The ability and positive mindset to "figure things out.".
• This position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.