Total 22 test engineer job vacancies in Transportation / Logistics category in D22 Jurong, Jurong Island, Tuas

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 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.

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

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.

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 Summary
• This role is responsible for overseeing multiple project teams through the entire development lifecycle, by applying advanced subject matter knowledge. The role encompasses assessing engineering deliverables, ensuring alignment with guidelines and standards, and enhancing product quality. The role collaborates with customer engineering management to comprehend and document client priorities and requirements, while also driving innovation and technology integration.

Responsibilities
• Leads multiple project teams of other engineers and internal and outsourced development partners responsible for all stages of development across multiple engineering disciplines for complex products, platforms, systems, software, and technology solutions.
• Reviews and governs the technical quality of engineering deliverables from the project teams.
• Evaluates designs and project activities for compliance with technology and development guidelines and standards; provides tangible feedback to improve product quality.
• Expands relationships with internal and outsourced development partners on engineering design and development.
• Works closely with customer engineering section management to interpret and document client priorities, scope and requirements.
• Develops cost estimates, business cases, appropriation requests and plans for engineering projects.
• Provides domain-specific expertise and overall engineering leadership and perspective to cross- organization projects, programs, and activities.
• Drives innovation and integration of new technologies into projects and activities in the engineering design organization.
• Exercises independent judgment in resolving business issues and establishing policies.
• Provides guidance and mentoring to less- experienced staff members to set an example of engineering design innovation and excellence.

Education & Experience Recommended
• Four-year or Graduate Degree in Electrical Engineering, Computer Engineering, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 10 years minimum work experience, preferably in engineering design, engineering design tools, or a related field.

• Candidates shall have good knowledge of PC Product Engineering.
• Candidates possess a proficient level of expertise in Design for Excellence (DfX) techniques.
• Familiar with PC production process and able to do first-level issue triage on factory quality issues.
• Self-motivated and proactive with demonstrated creative and critical thinking capabilities.
• Understands and deals well with rapid development cycles; remains flexible and calm in the face of uncertainty.
• Teamwork: able to fit in well with a team and understand capabilities and priorities while fostering a collaborative environment Using empirical analysis, modelling, and testing methodologies to validate product designs and specifications.
• Excellent written and Fluent English and local language.
• Ability to effectively communicate manufacturing plans, proposals, and results, and negotiate options at management levels.
• Excellent analytical and problem-solving skills using 6-sigma techniques.

Preferred Certifications
• Product Certification
• Six Sigma Certification

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.

- 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).

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.

Objectives of the position:

- Handle special product (SPP) enquiries for cable

- Vendor development and monitoring

- Pricing activity for cables

- Close cooperation with product management, product development and sales

organization

Job Description

- Pricing for SPP enquiries of cable

- Handle suppliers for product development activities and liase with product development

and approving authorities

- Support quality in resolving technical complaints related to cables with suppliers

- Development of suppliers across APAC (except China) for cables

- Coordination activity for price from suppliers including own affiliates

- Close coordination with LAEMEA LBO for pricing from suppliers

- Close coordination with internal sales for pricing from suppliers and affiliates

- Calculation of DP for purchase of material from suppliers by affilates and business partners

as per the regional policy

- Adhoc assignments as assigned by Manager

Requirements

- Degree in electrical/industrial engineering

- Preferably 3–5-year experience in sourcing of cables and vendor development

- Understanding of cable industry

- Experience in handling sales enquiries

- Customer-oriented thinking

- Product knowledge with respect to cable standards and construction

- Application knowledge of cables for key industries.

- Very good knowledge of Microsoft Office/Business Software

- Knowledge of SAP

- Basic knowledge of cost calculation required.

- Business fluent in English as a communication language

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.