Total 19 site engineer job vacancies in Transportation / Logistics category in SGP - Singapore - Singapore (50 Tuas West Dr)

Key roles and responsibilities

• Site sampling and testing of Indoor Air Quality & Industrial Hygiene Air Monitoring test in various industries
• Perform maintenance, troubleshooting & calibration of sampling equipment
• Ensure proper documentation and records updating at the end of each working day
• Generate reports including evaluation, discussion and reporting of the test results to clients
• Ensure safety and adhere to all Safe Work Procedures
• Ad-hoc duties assigned

Skills & Experience

• Diploma in ITE/NITEC qualification or equivalent
• Proficient in Microsoft Excel, Word and Outlook
• Training will be provided
• Able to write & communicate in English
• Self-driven, team player with initiative, willingness to learn and good communication skills
• Able to work in a fast-paced working environment, and able to multi-task.
• Must be able to commit OT
• Possess a valid Singapore Class 3 driving license

Benefits

• Basic + OT + Driving Allowance
• Annual variable bonus (performance base)
• Medical benefit
• Career development plan through continuous and structured training program
• Handphone Reimbursement

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.

• 5 days, Tuas, Transport provided
• Hybrid work arrangement after probation period
• Lots of learning opportunties
• $4000 - $4500 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 minimum 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

• 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.

• 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

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.

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

• 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.

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 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.