Total 49 operations engineer job vacancies in Transportation / Logistics category in woodlands tuas north west

岗位招聘：修车技工 / 营运助理

Automotive Technicians/ 修车技工

Job Scope / 工作范围

The Workshop General Technician will be responsible for carrying out vehicle preventive and corrective maintenance, diagnostic, body repair, refurbishment, and any supportive roles in the workshop.

修车技工将负责进行公交车和其他商用车的维护、诊断、翻新、改造，以及支持车间内的其他工作。

Qualification and Experience/ 资历

· NITEC in Automotive Engineering / 修车专业技术学院毕业

· Min. 3 years of relevant experience preferred / 最少3年工作经验为佳

Operations Assistant / 营运助理

Job Scope / 工作范围

Operations Assistant will be responsible for documentation for billing, procurement, parts issuance and costs tracking, as well as assisting in handling customers’ service request and tasking operations.

He/she will also be assisting in general administrative functions such as assisting the General Manager in preparation of tender documents and meetings arrangements, etc.

运营助理将负责账单、采购、零件发放和成本统计，以及协助处理客户的服务请求和任务操作。他/她还将协助一般行政职能，例如协助总经理处理所有其他行政要求，例如准备招标文件和会议安排等。

Qualification and Experience / 资历

· NITEC in Business Administration / Logistics Mgmt. or equivalent. 工商或物流管理或相关职业培训

· Fresh graduates are welcome / 欢迎应届毕业生

· Min. 2 years of relevant experience for interested parties without meeting minimal education requirements / 无相关学历应聘者需有最少2年工作经验

Job Description:

- Prepare weekly reports on vehicle repair status.

- Assist in writing meeting minutes to track outstanding issues.

- Conduct team briefings before starting work.

- Coordinate and manage team assignments and vehicle parking allocation.

- Plan and monitor vehicle sequencing and status for operational tasks.

- Provide documentation support to the Operations Leader for work-related needs.

Job Requirements:

- Degree in Engineering (Mechanical, Electrical, Hydraulic, Automotive, Electrical & Electronics, Mechatronics) or a Diploma in a related field with 5 years of relevant industry experience.

- Strong team player.

- Ability to lead a team effectively.

Job Description:

• Day-to-day customer service and procurement activities - Responsible for managing daily customer service operations and manage entire supply chain process from procurement to distribution to ensure timely and cost-effective delivery of products.
• Demand planning - Work closely with sales and marketing teams to forecast demand accurately.
• Production Planning - Collaborate with Operations team to develop production schedules and optimize the production planning that align with demand forecasts.
• Inventory Management - Work within the team to implement robust inventory control measures to maintain optimal stock levels. Monitor and analyze inventory turnover, taking proactive measures to prevent shortages or overstock situations.
• Logistics Coordination - Coordinate logistics activities, including transportation, shipping, and customs clearance. Optimize transportation routes and methods to reduce costs and enhance efficiency.
• Relationship Management - Build and maintain strong relationships with local and overseas suppliers and customers. Develop good vendor management with warehouse personnel for effective inventory control.
• Licensing - Manage all license requirements for Import/Export & transportation with compliance to Government Authority of Singapore.
• Collaboration and Communication - Work with product management team to review product specification/technical data. Collaborate with quality control teams to ensure that all products meet industry standards and customer specifications.
• Perform any other ad hoc tasks assigned by Team leader / Management.

Job Requirements:

• Degree in Chemistry / Chemical Engineering or any Engineering field.
• Minimum of 2 Years of working experience in a related field.
• Preferably with related experience in Chemical Distribution/ Semiconductor industries.
• Excellent written and spoken communication skills in English and ideally proficient in Chinese (in order to negotiate and handle queries with overseas Mandarin speaking suppliers/vendors in regards with the import & export shipment arrangement matters).
• Hands on experience using SAP/Navision system, strong in Microsoft Office, especially Excel would be an advantage.
• Experience in ISO9001, ISO14001 and ISO 45001.
• Ability to prioritize workload, make systematic decisions under pressure.
• Possess an entrepreneurial ‘can do’ mindset, able to work in a start-up environment.
• Possess excellent interpersonal skills, strong problem-solving skills and sense of ownership.
• Willing to travel if required.

Job Info:

• Salary: Basic up to $5000 + AWS + VB
• Working Hours: Monday - Friday (9am - 6pm); Saturday (9am - 1pm)
• Location: Changi Airfreight Centre

Job Scope:

• Supervise and manage the operations department, leading a team of 10 staff members
• Ensure seamless daily operations for both air and sea shipments
• Address and resolve issues and challenges faced by the operations department
• Uphold and maintain proper discipline within the operations team

Requirements:

• Must be familiar with Singapore Customs, airlines, and shipping lines
• Must possess strong leadership skills.
• Minimum 2-3 years of experience in the freight forwarding industry, handling both air and sea imports and exports
• Minimum Diploma holder with proficiency in English (both spoken and written)

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

*We regret to inform you that only shortlisted candidates would be notified*

We wish you all the best in your career search.

You are welcome to visit our website at http://www.rkgroup.sg/

RK Recruitment Pte Ltd | EA License No.: 20C0280

Chou Jia Hooi | EA Personnel No.: R23115147

• 5 days, Tuas, Transport provided
• Hybrid mode arrangement
• Lots of learning opportunties
• $4000 - $4200 basic, AWS
• Allowances, performance bonus

Administrative Support:

• Manage customer orders and data in ERP systems.
• Ensure timely reporting to stakeholders and maintain accurate records.

Sales and Customer Support:

• Provide solutions and technical advice to customers.
• Evaluate customer requirements and ensure compliance with company terms and conditions.
• Coordinate cost estimations and timelines for deliveries.

Order Management:

• Oversee order handling, ensuring timely delivery and accurate reporting.
• Coordinate with supply chain teams for logistics and transportation.

Teamwork and Innovation:

• Identify process improvements and support the development of innovative solutions.
• Foster collaboration among departments.

Quality Control:

• Inspect products to meet quality standards and customer expectations.

Requirements:

• Possess a Diploma in Engineering or Supply Chain Management
• MInimum 2-3 years of relevant experience in Engineering, Marine/Oil & gas environment
• Strong knowledge of parts sourcing, order processing, and client engagement.
• Ability to manage delivery and invoicing efficiently.
• Responsible and with positive attitude

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

Job Description:

- Prepare weekly reports on vehicle repair status.

- Assist in writing meeting minutes to track outstanding issues.

- Conduct team briefings before starting work.

- Coordinate and manage team assignments and vehicle parking allocation.

- Plan and monitor vehicle sequencing and status for operational tasks.

- Provide documentation support to the Operations Leader for work-related needs.

Job Requirements:

- Degree in Engineering (Mechanical, Electrical, Hydraulic, Automotive, Electrical & Electronics, Mechatronics) or a Diploma in a related field with 5 years of relevant industry experience.

- Strong team player.

- Ability to lead a team effectively.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp.
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

• 5 days, Jurong, Transport provided
• $4200 - $5000 basic salary, AWS, performance bonus
• Medical/dental benefits

Responsibilities:

• Review engineering drawings and execute experiments, calculations, and statistical controls for new products/processes.
• Drive engineering activities to enhance manufacturing and supply chain operations.
• Ensure manufacturing processes meet quality, cost, and delivery targets.
• Troubleshoot and redesign production processes for cleanroom and non-cleanroom operations.
• Support qualification and setup of new materials, recipes, and system applications.
• Identify and implement process improvements for future requirements.
• Conduct equipment and material validations (IQ, OQ, PQ methodology).
• Source suppliers, qualify specifications, and estimate costs for projects.
• Support new business projects and implement technologies.
• Train and build technical capabilities within the department.

Requirements:

• Diploma or Degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Materials Science, or Process Engineering.
• Minimum 1 year of experience in Process Engineering relating to Supply Chain
• Knowledge of manufacturing systems (e.g., CAD, ERP) and workflow simulation tools.
• Experience with statistical process control and applying ISO standards (ISO13485, GDPMS).
• Understanding of end-to-end processes in manufacturing and supply chain engineering.
• Strong project management and presentation skills.
• Self-motivated, resourceful, and analytical.

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

Location: Boon Lay, West Region

Type: Full-Time

Salary Range: $2,500 - $3,500

Availability: Immediate Start

What You Will Be Doing

Operational Management

• Supervise and coordinate daily shipping operations to ensure smooth and timely transportation of goods.
• Plan and manage consolidation boxes for overseas shipments.
• Arrange and coordinate deliveries and pickups with all relevant parties, including logistics and warehouse teams.

Documentation & Compliance

• Prepare and oversee accurate shipping documentation, including Bills of Lading, Permits, and Certificates of Origin.
• Handle and declare all types of import/export permits.
• Ensure compliance with international trade regulations, customs requirements, and company protocols.

Customer & Stakeholder Communication

• Liaise with customers, co-loaders, and overseas agents for shipment arrangements and issue resolution.
• Establish and maintain strong relationships with shipping vendors, carriers, and hauliers.

Monitoring & Improvement

• Use and oversee systems to monitor shipments, billing, and documentation, ensuring accuracy and prompt updates.
• Identify opportunities to optimize shipping efficiency and reduce costs.
• Resolve shipping, transportation, or documentation issues to maintain service standards.

Other Duties

• Provide support for ad-hoc projects or tasks assigned by management.

What We Are Looking For

• Diploma/Bachelor's degree in logistics, supply chain management, or a related field (preferred).
• 2-3 years of experience in freight forwarding or freight consolidation (preferred).
• Proficiency in MS Office (Excel, Word, PowerPoint).
• Strong verbal communication and interpersonal skills to build effective relationships with stakeholders.
• Attention to detail with the ability to multitask in a fast-paced environment.
• A proactive learner with the ability to adapt quickly to new systems and processes.
• Immediate availability and Singaporean citizenship are advantageous.

Employer Questions

Please include answers to the following questions in your application:

1. Which of the following best describes your right to work in Singapore?
2. What is your expected monthly basic salary?
3. How many years of experience do you have in freight or logistics?
4. How much notice do you need to give your current employer?

Location: Boon Lay, West Region

Type: Full-Time

Salary Range: $2,000 - $2,500

What You Will Be Doing

Operational Coordination

• Manage import/export shipments by liaising with customers to ensure smooth operations.
• Arrange deliveries and pickups, working closely with internal teams to meet customer needs.

Documentation & Tracking

• Prepare accurate shipping documentation and maintain detailed records in the system.
• Track shipments to ensure on-time delivery and provide status updates to customers.

Cost & Process Management

• Monitor shipping budgets and identify ways to optimize costs.
• Ensure accurate and timely billing for all completed jobs.

Problem-Solving & Support

• Address and resolve operational issues promptly to maintain service quality.
• Perform other ad hoc duties as required to support team operations.

What We Are Looking For

• Diploma/Bachelor's degree in logistics, supply chain management, or a related field (preferred).
• Basic understanding of shipping and logistics (training will be provided for the right candidate).
• Proficiency in MS Office (Excel, Word, PowerPoint).
• Strong communication skills with attention to detail and the ability to multitask.
• A proactive learner who thrives in a fast-paced environment.
• 1-2 years of experience in logistics or freight forwarding is preferred but not mandatory.
• Immediate availability and Singaporean citizenship are advantageous.

Employer Questions

Please include answers to the following questions in your application:

1. Which of the following best describes your right to work in Singapore?
2. What is your expected monthly basic salary?
3. How many years of experience do you have in freight or logistics?
4. How much notice do you need to give your current employer?

• Supervising transport and managing vehicles within the department
• Develop effective relationships with internal customers
• Interacts with customer departments to plan, evaluate and coordinate the activities of the Environmental Services Department
• Assesses the work environment, products/equipment, and processes to develop and maintain a safe work environment
• Providing on-the-job training to subordinate

• Supervising transport and managing vehicles within the department
• Develop effective relationships with internal customers
• Interacts with customer departments to plan, evaluate and coordinate the activities of the Environmental Services Department
• Assesses the work environment, products/equipment, and processes to develop and maintain a safe work environment
• Providing on-the-job training to subordinate

Brief Summary

• Basic $4000 + AWS + VB + Medical benefits
• 5 Days : 8.30am-5.30pm
• Working Location @ West
• AL 14 Days, Birthday Leave, Annual health check-up, Customized Gift for holiday season
• Required to attend a 2-week training session in Shanghai HQ
• New Headcounts

Responsibilities

• Assembly, testing, and maintenance of mechanical, electronic, or automated equipment.
• Adhere to operational protocols to ensure quality control and proper functionality of equipment.
• Collaborate with engineers to diagnose malfunctions and enhance system performance.
• Assist in documenting testing procedures and results.
• Maintain a safe and organized work environment, complying with workplace safety standards.
• Conduct wafer testing on the wafer platform according to the schedule.
• Perform die testing on the die platform as scheduled.
• Execute die sorting on the sorting platform based on the timeline provided.
• Uphold and manage 6S standards within the Fab environment.

Requirements:

• Min 1 year relevant experience
• Proficiency in handling mechanical, electronic, or automated equipment.
• Singaporean only

For consideration, kindly submit your CV by clicking “APPLY Now” or email to [email protected]

**Only shortlisted candidate would be notified**

EA Reg. No: R1988238

We are looking for an Assistant Principal Engineer to join our ILS O&S Team. In this position, you will be responsible for in-service vehicle matters, item obsolescence and vehicle upgrading proposal. You will work closely with the Design and O&S team as well as the End Users in order to maintain the availability of the in-service vehicles.

Job Responsibilities:

• Meet up of End Users to understand their issues and matters on hand.
• Work with different departments, local vendors, overseas OEMS to submit design/pricing proposal.
• Monitor progress of outstanding issues and/or submitted proposals.
• Monitor allocated budget for the given year.

Job Requirements

• Degree in Mechanical Engineering.
• Knowledge and/or experience in mechanical design. Proposal writing and budgeting experience will be an advantage
• Self-motivated and able to work systematically
• Team player with good communication and presentation skill
• Singaporeans only

Job Description

As an Operations Manager, you will play a crucial role in overseeing and optimizing the logistical and operational aspects of our business.

1. Plan duty roster of operations staff
2. Plan Scheduling of delivery
3. Oversee and ensure efficient day-to-day operations
4. Send, set-up and collection of buffet
5. Check orders in advance on the system to plan schedules and allocate manpower effectively.
6. Engage part-timers and ensure that they are deployed accordingly
7. Attend meetings with clients to discuss logistics and operational requirements.
8. Address and rectify any sudden issues that arise during events to ensure smooth operations.
9. To co-ordinate with Chef, Operations staff on function set-up arrangement, service procedure and setting up and clearing of all equipment before and after functions.
10. Any other duties as assigned by supervisor

Requirement

1. Minimum 1 year experience in catering operations
2. Possess Class 3 driving license with clean records
3. Familiar with Singapore streets directory

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp.
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

We are looking for an Assistant Principal Engineer to join our ILS O&S Team. In this position, you will be responsible for in-service vehicle matters, item obsolescence and vehicle upgrading proposal. You will work closely with the Design and O&S team as well as the End Users in order to maintain the availability of the in-service vehicles.

Job Responsibilities:

• Meet up of End Users to understand their issues and matters on hand.
• Work with different departments, local vendors, overseas OEMS to submit design/pricing proposal.
• Monitor progress of outstanding issues and/or submitted proposals.
• Monitor allocated budget for the given year.

Job Requirements

• Degree in Mechanical Engineering.
• Knowledge and/or experience in mechanical design. Proposal writing and budgeting experience will be an advantage
• Self-motivated and able to work systematically
• Team player with good communication and presentation skill
• Singaporeans only

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Micron’s vision is to transform how the world uses information to enrich life for all.

Join an inclusive team that is passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation Micron is pursuing.

The Global Procurement team is an integral engine to Micron’s growth, delivering best-in-class total cost and supply chain resiliency through cutting-edge predictive capabilities, risk analysis and a focus on sustainability and diversity. Our business goals are directly tied to the value we place on our team members – our greatest asset. We invest in our people through a skills-based learning and development model to create clear career pathways for development and career growth. We also strive to create an engaging and inclusive culture through building camaraderie and celebrating the diverse perspectives of all our global team members. Join us and discover why Micron’s Global Procurement team is the preferred destination to unleash your talent!

As a Supply Management Professional in the Inbound Supply Management team at Micron, you will work with a team of Supply Chain Analysts responsible for maintaining Micron’s inventory supply. Your primary responsibility will be to ensure availability and continuity of supply and implement a comprehensive inventory management strategy. You will engage suppliers and partners in resolving supply shortages and identifying root-cause to prevent future shortages. You will be part of a distributed team dedicated to providing on-time delivery, minimizing waste, and leading continuous improvements through effective and efficient global parts & materials inventory management, and building resilience against disruptions.

Responsibilities:

Material Management and Supply Planning

• Develop, monitor, and optimize inventory replenishment models and supply execution strategies to effectively support manufacturing and minimize waste. This includes forecast and material requirements planning (MRP), safety stock (SS), reorder point (ROP) and lead time maintenance as well as part/material obsolescence management.
• Publish material forecasts, manage supplier commitments, monitor forecast accuracy and work with suppliers and business partners to address any concerns in demand volume and timing.
• Manage inventory scheduling and delivery and make order adjustments with suppliers as necessary due to scheduling or availability changes. Expedite and elevate delivery issues as needed to ensure continuity of supply.
• Address inventory shortage issues and resolve root cause.

Stakeholder Engagement & Business Partnering

• Work with partners to monitor performance of key process indicators through aligned metrics with driven root cause and action.
• Provide input to leadership on the building and implementing of department strategies, processes, and policy through active participation on teams and projects.
• Work with direct and cross-functional teams to implement and execute global strategic direction in supply fulfillment and inventory management.
• Enable and support automation of procurement processes and metrics.
• Drive customer-centric approach to solving issues and positively representing Procurement.

You are:

• Collaborative and responsive, with strong business and procurement acumen
• Possessing excellent interpersonal skills and a strong commitment to integrity
• Demonstrate strong communication through active listening and clear communication to convey complex issues concisely and accurately to all levels.
• Collaborating with an inclusive approach across geographical and organizational cultures to achieve mutual success for Micron.
• Self-motivated, driven individual who is comfortable working in a global, fast-paced and dynamic environment.
• Agile in adopting new tools and ways of working towards continuous improvement to better business outcomes.

Qualifications & Skills:

• Bachelor’s Degree or equivalent experience in Supply Chain Management, Industrial Engineering, or related field of study.
• 0-1 years of experience in Supply chain Management
• Professional Procurement Certification (CPIM, APICS, etc) will be an added advantage.
• Proficient in O365, SharePoint, Tableau, Power BI, or equivalent will be an added advantage.
• Proven analytical and problem-solving skills.
• Strong communication skills and the ability to be a persuasive advocate.