เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Automation, Python

ประเภทงาน:

งานประจำ

• Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
• Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
• Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
• Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
• Collaborate with internal team and partner to scale up development to production.
• Maintain and fine tune existing analytic model in order to ensure model accuracy.
• Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
• Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
• Be Project manager for Data project and manager project scope, timeline, and budget.
• Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
• Control / manage / govern Level 2 support, identify, fix and configuration related problems.
• Keep maintaining/up to date of data modelling and training model etc.
• Run through Data flow diagram for model development.
• EDUCATION.
• Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
• EXPERIENCE.
• At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
• Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
• Experience developing and deploying machine learning model in production environment.
• Knowledge in oil and gas business processes is preferrable.
• OTHER REQUIREMENTS.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Quality Assurance, Assurance, Chemical Engineering, English

ประเภทงาน:

งานประจำ

• Process Development and Optimization: Design and optimize chemical and plating processes for improved performance and reduced defects.
• Develop and implement process documentation and standard operating procedures (SOPs) to ensure consistent and reliable production.
• Analyze process data and conduct experiments to enhance plating efficiency and quality.
• Production Support: Provide technical support and troubleshooting for plating processes, including chemical baths and equipment.
• Monitor production processes, identify bottlenecks, and suggest solutions to improve throughput and reduce downtime.
• Collaborate with the production team to ensure smooth operation and quick resolution of process-related issues.
• Quality and Compliance: Ensure that all plating processes comply with environmental, health, and safety regulations.
• Work closely with the Quality Assurance team to reduce scrap and rework rates by improving process control and capabilities.
• Participate in internal and external audits and implement corrective actions as needed.
• Project Management: Lead and manage projects related to process improvements, cost reduction, and capacity expansion.
• Coordinate with equipment suppliers, manage installations, and conduct process validation.
• Prepare reports and presentations for management review on project progress and results.
• Team Collaboration and Training: Work collaboratively with engineers, technicians, and other plant personnel to achieve project and process goals.
• Train production staff on new processes and technologies to ensure high competency levels across the team.
• Participate in cross-functional teams to drive improvements in overall plant performance.
• Bachelor s degree in Chemical Engineering, Materials Science, or a related field.
• 3-5 years of experience in chemical process engineering; specifically in plating or surface finishing operations.
• Strong understanding of electroplating, anodizing, and other metal finishing techniques.
• Good command in English communication skills.
• Proficiency in process simulation and analysis tools such as Aspen Plus, MATLAB, or similar.
• Excellent problem-solving skills and the ability to analyze complex process data.
• Strong project management skills and experience leading cross-functional project teams.
• Knowledge of Lean Manufacturing, Six Sigma, and continuous improvement methodologies.
• Effective communication and interpersonal skills to work with diverse teams.
• Familiarity with ISO and other quality management systems is preferred.
• About Us.
• The world is changing. And it s a familiar story at Honeywell. Our $36 billion business was founded on a legacy of firsts spanning 130 years. We re building a safer, smarter, and more sustainable world through our technology and software across each of our 930 sites globally. Our impact is seen in every shape and size around the world. Our solutions are felt daily in aerospace, buildings and cities, retail, chemicals and materials, safety, industrial and manufacturing, safety, and supply chains.
• Discover More.
• We ve been innovating for more than 100 years and now we re creating what s next. There s a lot more available for you to discover. Our solutions, our case studies, our and so much more. Learn more at careers.honeywell.com/us/en/.
• If you believe what happens tomorrow is determined by what we do today, you ll love working at Honeywell.
• The future is what we make it. So join us and let s do this together.
• Honeywell is an equal opportunity employer, and we support a diverse workforce. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
• In October, 2024 Honeywell announced the spin-off of our Advanced Materials business to become a stand-alone publicly traded company, independent of Honeywell. Our intention is that this role, dedicated to the Advanced Materials business, will be a part of this future transaction when the separation occurs. .
• Copyright 2024 Honeywell International Inc.
• Additional Information.
• JOB ID: req467485.
• Category: Integrated Supply Chain.
• Location: 32 Moo 8 Srirachi, Chonburi Industrial Estate,Chonburi,BANGKOK,20110,Thailand.
• Exempt.