Total 36 process development engineer job vacancies in Transportation / Logistics category in sin01 singapore tuas west ave sin01

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.

Job Duties

• Under broad direction, identifies user requirements and assists with the design, development and documentation of supply chain business processes.
• Assists in the development of user training and works with users to ensure that processes are correctly followed.
• Communicates with supply chain business units to ensure business needs are met.
• Is an advocate to the business unit and user community.
• Coodinates and conducts user training.
• Assists in supervising others. Provides basic job training and guidance on a regular basis; performs work of same or closely allied nature.
• Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations.
• Consequences of error are easily measured and can be confined.

Requirement

Skills are typically acquired through completion of an undergraduate degree in a Technical, Supply Chain, or Business related field and 4-10 years of experience in a supply chain related field. Should have direct experience in and extensive knowledge of supply chain business processes and process management techniques.

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

• Safely transport company workers between sites, dormitories, the office, and other locations as assigned by Superior/Management.
• Operate the lorry crane for loading, unloading, and transportation of materials as required, ensuring safe and efficient use.
• Conduct daily checks and routine maintenance of the lorry crane, reporting any issues or malfunctions to Superior/Management.
• Immediately report any vehicle or lorry crane issues or unsafe conditions to the Superior/Management, ensuring timely repairs.
• Maintain safe driving and crane operation practices at all times, strictly adhering to traffic regulations and the company’s safety standards.

Job Requirements:

• Possess Valid Class 4/5 Singapore driving license, preferably with lorry crane operator license.
• At least 2- 3 years relevant work experience required for this role.
• Good communication skills and ability to work as part of a team.
• Familiar with Singapore roads.
• Perform ad-hoc tasks and responsibilities as assigned by Superior/Management.

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.

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 summary:

We are seeking highly talented Software Engineer with experiences in developing network/communication middleware for embedded system or automotive ECU system is preferable.

Duties/ Responsibilities:

• Innovate, create and invent network/security technologies (including product, platform, module and function) for rapidly changing automotive products to enable the megatrend of ACES (Autonomous Connected Electric Shared).
• Design and develop protocol stacks for Vehicle Network/Communication functions or systems (including but not limited to Ethernet, CAN, LIN, FlexRay, Optical related.)
• Develop software middleware for communication such as DoIP and SOME/IP stack based ecosystem.
• Lead or participate in product software architecture definition and design which meet automotive OEM requirements.
• Ensure and carry out forward design process and document quality according to V model to fulfil stringent automotive industrial standards.
• Implement software programme to realize defined architecture & design.
• Behave independently as technology domain representative for internal and external customers.

Requirements:

• Bachelor's degree or above in Electronic/Computer Engineering or related field with 5 years' experience in the embedded system development, preferably in automotive industry.
• Innovative mindset with ability to think critically and solve problems
• Experience in software development using C++.
• Knowledge of Operating Systems (OS) concepts and Data Structures, Inter Process Communication and Algorithms.
• Familiar with Service Oriented Architecture. Cloud Native development experience is an added advantage.
• Deep understanding of network layer components such as IPv4, IPv6, routing, forwarding, TCP/IP.
• Experience in software development in Linux is a must. Knowledge of Real-time operating systems (RTOS), Android Auto or QNX will be an added advantage.
• Experience in Python or Rust will be an added advantage.
• Experience in Adaptive Autosar or Robot Operating Systems (ROS) will be an added advantage.
• Experience in developing time-critical functions in embedded systems.
• Proficiency with network monitoring protocols and tools.
• Prefer candidates have experience with embedded ARM processor.

Job Info:

• Salary: Basic up to $4000 + Transport Allowance + Commission + AWS + VB
• Working Hours: Monday - Friday (9am - 6pm)
• Location: Changi Airport Cargo

Job Scope:

• Identify and pursue potential clients through lead generation and networking
• Present services, negotiate contracts, and close deals to secure new business
• Build and maintain strong relationships with existing clients, addressing inquiries and concerns
• Stay informed about industry trends, market conditions, and competitors
• Develop strategies for expanding market presence and entering new regions or industries
• Understand client logistics requirements and tailor solutions accordingly
• Create and deliver sales presentations and marketing materials
• Generate accurate and competitive quotations and proposals
• Maintain records of sales activities and provide regular reports to management

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*We regret to inform 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

TEH CHEE HONG | EA Personnel No.: R24121499

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.

• Safely transport company workers between sites, dormitories, the office, and other locations as assigned by Superior/Management.
• Operate the lorry crane for loading, unloading, and transportation of materials as required, ensuring safe and efficient use.
• Conduct daily checks and routine maintenance of the lorry crane, reporting any issues or malfunctions to Superior/Management.
• Immediately report any vehicle or lorry crane issues or unsafe conditions to the Superior/Management, ensuring timely repairs.
• Maintain safe driving and crane operation practices at all times, strictly adhering to traffic regulations and the company’s safety standards.

Job Requirements:

• Possess Valid Class 4/5 Singapore driving license, preferably with lorry crane operator license.
• At least 2- 3 years relevant work experience required for this role.
• Good communication skills and ability to work as part of a team.
• Familiar with Singapore roads.
• Perform ad-hoc tasks and responsibilities as assigned by Superior/Management.

Digital Supply Chain Group of the Resilient Value Chain Division at the ARTC is searching for a Development Scientist who will lead and support projects in Supply Chain innovation using advanced data analytics, Generative AI and SOTA AI.

Responsibilities:

1. Deliver tangible outcomes in technical projects: e.g:Develop new, bespoke, accurate, and fast algorithms to solve Supply Chain optimization and prediction problems. Implement state-of-the-art approaches and bring them to industry-readiness status.
2. Focus on technical efforts in data analytics, Generative AI and SOTA AI research by providing effective tech leadership in problem definition and solution design. Key skillsets include Statistical Analysis, Neural Network Frameworks, GANs (Generative Adversarial Networks), Natural Language Processing, Data Generation and Augmentation, Hyperparameter Tuning.
3. Continuously develop personal technical skillsets to ensure technical relevance.
4. Domain knowledge (aerospace, energy, land transport, logistics, etc.) for the specific context of operational research.
5. Abide by software development processes and procedures to ensure high quality of deliverables.
6. Assist in securing industry projects and research grants through stakeholder engagements.

Job Requirements:

• Good interpersonal and communication (verbal & written) skills.
• PhD in Computer Engineering, Computer science, Supply Chain Analytics, or Business Analytics.
• Strong skills in mathematical problem definition, algorithm design, scientific computing, statistic modeling and analytics, and real-world problem solving.
• Strong scientific programming background (e.g. Pyton, C, C++, etc.) with familiarity with machine learning frameworks (e.g. TensorFlow/Pytorch/Scikit-learn).
• Prior experience with AI in supply chain optimisation (e.g., fleet planning, network design, scheduling) is preferrable.
• A publication track record in Industry 4.0-related topics, e.g., Gen-Ai, optimisation, machine learning/deep learning, etc.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are looking for a self-motivated individual who is highly analytical, proactive, and enjoys working with process. You possess the ability to communicate clearly across geographical boundaries and effectively using factual data. You are a forward thinker, a team player with a growth mindset, adaptable to change and able to keep up in a fast-paced demanding environment. This regional role is within the Supply planning & DIM regional function reporting to the Director Supply Planning & DIM APAC.

The Mission

Within the service market logistics area, the Supply Chain Engineer will be a key stakeholder of major activities in the 6 sites of APAC (Australia, South Korea, Indonesia, India, China and Singapore). She/he will have to supervise and monitor logistics processes to ensure objectives are fully met. Scope of expertise is expected to be on Supply planning but some warehouse or packaging activities could also be covered.

The position will be part of performance management initiatives to further support our organization in continuous improvement cycle and work closely with Supply planning team of Volvo Group Service Market Logistics, APAC Region.

Focused Activities

• You will lead supply planning activities across sites
• You will handle Supply Chain staff, mentors and influences others on assignments
• You will work closely with office and warehouse operations to support road map initiatives
• You will identify, mitigate risks and drive continuous improvement throughout the supply chain for all assigned projects and activities

Critical Competencies

• Supply Chain / Logistic Knowledge
• Experience of digital solutions such as business intelligence tools or Automation
• Knowledge on sustainability around supply chain management
• Business communication skills
• Networking & coordination skill
• Volvo Performance System or related with Lean Leadership Skills
• Integrity & Trust
• Stakeholder Management
• An aptitude for self-development and a holistic view
• Perseverance, energy and a drive to improve

Qualification

• Bachelor's degree in Supply Chain Management / Logistics / Operations Management or related field
• Minimum work experience of 5 years (in addition to internship period if any) in similar job role/skill set
• Candidate with MBA from established university will have an added advantage
• Excellent communication skills in English due to communication with stakeholders from various countries. Additional languages are given merit

Digital Supply Chain Group of the Resilient Value Chain Division at the ARTC is searching for a Development Scientist who will lead and support projects in Supply Chain innovation using advanced data analytics, Generative AI and SOTA AI.

Responsibilities:

1. Deliver tangible outcomes in technical projects: e.g:Develop new, bespoke, accurate, and fast algorithms to solve Supply Chain optimization and prediction problems. Implement state-of-the-art approaches and bring them to industry-readiness status.
2. Focus technical efforts in data analytics, Generative AI and SOTA AI research by providing effective tech leadership in problem definition and solution design. Key skillsets include Statistical Analysis, Neural Network Frameworks, GANs (Generative Adversarial Networks), Natural Language Processing, Data Generation and Augmentation, Hyperparameter Tuning.
3. Continuously develop personal technical skillsets to ensure technical relevance.
4. Domain knowledge (aerospace, energy, land transport, logistics, etc.) for the specific context of operational research.
5. Abide by software development processes and procedures to ensure high quality of deliverables.
6. Assist in securing industry projects and research grants through stakeholder engagements.

Job Requirements:

• Good interpersonal and communication (verbal & written) skills.
• PhD in Computer Engineering, Computer science, Supply Chain Analytics, or Business Analytics.
• Strong skills in mathematical problem definition, algorithm design, scientific computing, statistic modeling and analytics, and real-world problem solving.
• Strong scientific programming background (e.g. Pyton, C, C++, etc.) with familiarity with machine learning frameworks (e.g. TensorFlow/Pytorch/Scikit-learn).
• Prior experience with AI in supply chain optimisation (e.g., fleet planning, network design, scheduling) is preferrable.
• A publication track record in Industry 4.0-related topics, e.g., Gen-Ai, optimisation, machine learning/deep learning, etc.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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:

• Analyse and Optimise Operations: Review and interpret operational data to identify issues and provide solutions that enhance service levels, efficiency, and overall process flows within the end-to-end operations, from product listing to final delivery. This includes monitoring delivery schedules, optimizing route planning, and ensuring timely fulfillment of customer orders.
• Report Preparation and Monitoring: Develop and prepare regular statistical reports, including performance reports, productivity reports, and issue-specific reports (e.g., lost or delayed orders) to monitor and evaluate operational performance. Analyze data trends to forecast delivery needs and production demands.
• Process Improvement: Conduct reviews of standard operating procedures (SOPs) to streamline and automate operations, particularly in production workflows and delivery processes. Aim to improve efficiency, reduce bottlenecks, and ensure that production outputs align with delivery schedules and customer expectations.
• Loss Prevention: Identify and analyze areas for improvement in addressing top losses, including production inefficiencies, delivery delays, and supply chain disruptions. Propose and implement actionable solutions to minimize operational risks and financial losses.
• Collaboration: Work closely with internal stakeholders, including production teams, logistics, and sales departments, as well as external stakeholders like suppliers, 3PL providers, and customers. Ensure seamless coordination between production output and delivery schedules. Foster strong relationships with suppliers to ensure timely procurement of materials and efficient inventory management.
• Project Management: Collaborate with stakeholders to identify project opportunities, compile quantitative business cases, and support project approvals and implementation. Oversee projects related to production scaling, delivery optimization, and supply chain integration.
• Complaint and Issue Resolution: Manage an internal team dedicated to investigating Level 2 customer complaints, non-conformance issues, and delivery failures. Ensure timely resolution, implement corrective actions, and develop preventive measures to avoid future occurrences.

Requirements:

• Educational Background: A degree in Operations Management, Supply Chain, or a related field is preferred.
• Experience: 3-5 years of experience in operations, change management, project management, logistics, or supply chain roles, with a focus on production and delivery operations.
• Problem-Solving Skills: Ability to apply problem-solving methodologies, including root cause analysis and preventive measures, to develop corrective action plans.
• Process Development: Experience in developing and documenting new and existing business processes, particularly in production and delivery operations, to identify improvement opportunities.
• Proactivity and Responsibility: A proactive and responsible individual capable of working independently in a fast-paced environment.
• Data Analysis Skills: Proficiency in SQL for data extraction and pattern analysis, alongside strong skills in Microsoft Office tools, particularly Excel.
• Hands-On Approach: Willingness to engage directly with stakeholders, 3PL providers, and production teams on the ground to implement process changes effectively.
• Communication Skills: Strong communication and persuasive skills to drive change across all levels of the organization, including liaising with suppliers and external partners.
• Flexibility and Adaptability: Ability to take high-level instructions and develop a detailed approach to analytical assignments, adapting to changing circumstances.
• Mobility: Willingness to work across multiple sites in Singapore, as required.

Position Title: Assistant Manager - Project & Process Improvement

Responsibilities:

• Identify area for improvement within operational process
• Initiate process improvement project for better productivity and efficiency
• Develop costing file to determine budget, resource, and profitability of new business quotation
• Responsible for new project scoping and migration, mapping with customer for new or changed business requirements
• Provide performance and management reports to customers
• Meet project KPI, example billing accuracy and meeting timeline
• Responsible for Asset Management (Weasel, ASRS, GTP & Future Automation)
• Perform analysis, trending and reporting of operational data to generate insights for continuous process improvement
• Support Operations Manager to review inventory management and cycle count plan, assist Operations Manager with stock variances reconciliation investigation to prevent recurrence if discrepancy is related to operation process flow
• To carry out tasks assigned by immediate superior
• Comply with the requirement set in Quality Management System; FSC CoC Management System; Environmental, Health & Safety Management System, and any other management systems deem related to this industry

Requirements:

• Min Diploma in Logistics / Supply Chain or equivalent
• 3 years of relevant experience in warehousing or logistics operations
• Proven experience in leading cross-functional teams and managing complex projects
• Excellent communication, presentation and interpersonal skills
• Ability to work in a fast-paced environment and manage multiple projects similtaneously
• Strong analytical skills with the ability to interpret data and make data-driven decisions.
• Certification in Lean, Six Sigma, or similar process improvement methodologies is preferred.

Markono is committed to fostering and cultivating a diverse and inclusive workplace. We believe that a diverse workforce is needed to drive innovation, grow, and succeed in today’s corporate climate. We recruit and select employees on the basis of merit (such as skills, experience or ability to perform the job), regardless of nationality, age, gender, marital status, pregnancy status, caregiving responsibilities, race, religion, language, disability and mental health conditions. Join us and thrive!

Job purpose is to build and drive Supply Chain Excellence through strong end-to-end project and process management within the specific performance unit (PU) Supply Chain, OTC and Customer centric projects. Develop competencies in the specific performance unit (PU) supply chain and execute projects in close collaboration with Sales, Key Customers and other relevant partners in the supply chain. Ensure Customer satisfaction and alignment on Supply chain performances.

Key Responsibilities:

· Drive Customer specific supply chain (SC) improvements and projects

· Drive and execute Customer differentiated SC offerings projects to reduce lead time (VSM and logistics improvements) and improve quality.

· Initiate and drive improvements projects and change management in the Supply Chain to increase delivery and quality performance and ultimately Customer satisfaction.

· Support Sales, Product Management and Key Accounts in translating the Customer tailored solutions into our Supply Chain

· Supply Chain Services definition and implementation

· Build competencies within the organization and act as an interface to GSC functions.

· Drive all kind of supply chain projects aiming at delivering customer satisfaction and/or reduce inventory.

· Participate in and drive divisional OTC related projects.

· Monitor process KPIs and drive excellence within supply chain

· Customer escalations and Delivery red alert handling

Minimum requirements:

· Bachelor’s Degree or above in Business or Economy

· Minimum 5 years working experience in Supply Chain Management in Multinational Companies

· Business understanding and a global mind-set

· Excellent in English

· Knows how to apply supply chain and logistics concepts for E2E supply chains

· SIOP / S&OP knowledge

Overview

As a Vehicle Homologation Engineer, you will be responsible for ensuring that our vehicles comply with all relevant regulatory and legal requirements in the markets where they are sold. This role requires a deep understanding of automotive regulations, standards, and certification processes. You will work closely with cross-functional teams, including design, engineering, and regulatory affairs, to ensure that our vehicles meet all necessary homologation and certification standards.

Key Job Accountabilities

Regulatory Compliance:

Stay abreast of current and upcoming automotive regulations, standards, and certification requirements globally.
Interpret and communicate regulatory requirements to internal teams.
Ensure that vehicle designs and modifications comply with local, regional, and international standards.

Certification Process:

Manage the entire homologation and certification process for new and existing vehicle models.
Collaborate with external testing agencies and regulatory bodies to facilitate the approval process.
Prepare and submit required documentation for regulatory approvals.

Testing and Validation:

Plan and coordinate vehicle testing activities to validate compliance with regulatory requirements.
Analyze test results and work with engineering teams to address any non-compliance issues.
Develop and maintain testing protocols to ensure ongoing compliance.

Cross-Functional Collaboration:

Work closely with design, engineering, and manufacturing teams to integrate regulatory requirements into the product development process.
Collaborate with regulatory affairs professionals to navigate the complex landscape of regional and global regulations.

Documentation and Reporting:

Prepare and maintain accurate records of homologation and certification processes.
Generate reports for internal and external stakeholders detailing compliance status and any necessary corrective actions.

Continuous Improvement:

Identify opportunities for process improvement in the homologation and certification workflow.
Stay informed about industry best practices and emerging trends in vehicle homologation.

Required Qualifications & Experience

• Diploma or degree in Mechanical Engineering, Automotive Engineering, or a related field. Advanced degree is a plus.
• Proven experience in vehicle homologation, certification, or regulatory affairs within the automotive industry.
• In-depth knowledge of global automotive regulations and standards (e.g., FMVSS, ECE, CCC).
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively in a cross-functional team environment.
• Attention to detail and ability to manage multiple projects simultaneously.

Job Description:

· Possess class 4 license;

· Minimum 2 year of relevant driving experience;

· Familiar with Singapore roads;

· Positive attitude, can work as a team;

· Carry out daily routine safety check and maintenance of vehicle;

· Able to adapt to Construction working environment.;

· Able to start immediately and commit OT when required;

· 5.5 days (alternate Sunday) and public holiday when require.

- Evaluate existing supply chain processes and identify areas for improvement.

- Implement strategies to enhance efficiency, reduce costs, and streamline operations.

- Develop and implement inventory control strategies to optimize stock levels.

- Collaborate with procurement and production teams to ensure adequate supply without excess inventory.

- Work closely with cross-functional teams, including procurement, logistics, and production, to ensure seamless coordination.

- Establish effective communication channels to address supply chain challenges.

- Explore and implement technological solutions to improve supply chain processes.

- Stay updated on industry trends and advancements in supply chain technology.

- Proactively identify opportunities for continuous improvement in supply chain operations.

- Implement best practices and monitor key performance indicators (KPIs).

We are seeking a talented and detail-oriented Supply Chain Business Process Analyst to join our team. The successful candidate will be responsible for creating, implementing, and maintaining supply chain business processes, working closely with business partners to identify and prioritize process improvement opportunities. They will develop prototype user solutions to support those processes, obtain business sign-off on end-to-end process proposals, and collaborate with IT to define the technical solutions required.

Responsibilities:

• Analyze supply chain processes to identify opportunities for improvement.
• Assist senior management with business case development and project funding.
• Prototype Solutions to simulate process improvement.
• Collaborate with cross-functional teams to define and document project planning and key project milestone deliverables.
• Define testing and success criteria for the new process.
• Manage end user training activities and other management of change activities.
• Develop, implement, and track relevant metrics and KPIs as defined in the business case
• Develop and maintain documentation on supply chain processes and procedures.
• Assist in the design and implementation of supply chain systems and tools.
• Conduct training sessions for supply chain team members on new processes and tools.

Requirements:

• Bachelor's degree in business, supply chain, or related field
• 2-5 years of experience in supply chain or operations
• Strong analytical and problem-solving skills
• Proficiency in data analysis tools
• Excellent communication and interpersonal skills
• Ability to work independently and collaboratively with cross-functional teams
• Knowledge of supply chain management systems and tools
• Demonstrated examples of Project management skills
• Industry 4.0 competency with respect to implementation of standards across the enterprise

If you are a results-driven Supply Chain Business Process Analyst with a passion for driving process improvements and optimizing supply chain performance, we encourage you to apply for this exciting opportunity.

Position Overview

We are seeking a dynamic and motivated individual to join our team as an Electric Vehicle (EV) Charger Sales Engineer and Project Executive. This role requires a strong blend of project management skills, and sales acumen. The ideal candidate will be fearless in pitching our products, possess exceptional follow-up abilities, and demonstrate resourcefulness in identifying and converting cold leads into successful sales. As the primary point of contact for clients, this individual will play a critical role in driving the adoption of our EV charging solutions.

Key Responsibilities

1. Sales:

• Identify and pursue sales opportunities for electric vehicle charging solutions.
• Develop and maintain relationships with potential clients, including EV fleet operators, property managers, and municipalities.
• Conduct product presentations and demonstrations to showcase the features and benefits of our EV chargers.
• Utilize a proactive approach to generate and follow up on leads, both warm and cold, to achieve sales targets.
• Negotiate contracts and agreements with clients, ensuring favourable terms for both parties.
• Stay updated on industry trends, competitor activities, and market developments to inform sales strategies.

2. Project Management:

• Serve as the primary point of contact for clients throughout the project lifecycle, from initial inquiry to post-installation support.
• Collaborate with internal teams, including engineering, operations, and customer service, to ensure seamless project execution.
• Develop project plans, timelines, and budgets, and oversee their implementation to meet client requirements.
• Coordinate site assessments, installations, and commissioning activities, ensuring adherence to quality standards and safety regulations.
• Address any project-related issues or concerns promptly, striving to exceed client expectations at every stage.

3. Technical Expertise:

• Possess a deep understanding of electric vehicle charging technology, including different charging standards, power levels, and infrastructure requirements.
• Provide technical guidance and support to clients, addressing inquiries related to product specifications, installation procedures, and compatibility issues.
• Collaborate with the engineering team to identify opportunities for product improvements or customization based on client feedback and market demands.

Qualifications

• Bachelor's degree in Engineering, Business Administration, or related field (preferred).
• Some proven track record in sales, with a focus on technical products or solutions.
• Familiarity with CRM tools and sales tracking software.
• Project management skills, with the ability to manage multiple tasks simultaneously and prioritize effectively.
• Strong communication and interpersonal skills, with a persuasive and confident demeanour.
• High level of initiative and resourcefulness, with a demonstrated ability to identify and pursue new business opportunities.
• Passion for sustainability and clean transportation solutions.
• Knowledge of electric vehicle industry trends, regulations, and incentives is advantageous.

Benefits

• Competitive salary structure.
• Flexible office attire allowed.
• Long service incentive for hard work and effort.
• Opportunity for professional growth and advancement within the organization.
• Work in a dynamic and innovative industry at the forefront of sustainable transportation.

Application Process

Please submit your resume and a cover letter outlining your relevant experience and why you are the ideal candidate for this position. We look forward to reviewing your application and discussing how you can contribute to our team's success.