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Lear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world. Our diverse team of talented employees in 38 countries is driven by a commitment to innovation, operational excellence, and sustainability. Lear is Making every drive better by providing the technology for safer, smarter, and more comfortable journeys. Lear, headquartered in Southfield, Michigan, serves every major automaker in the world and ranks #179 on the Fortune 500.
As a member of Asia Business Planning and Analysis team, the Data Scientist is responsible to work alongside the Business, Planning, and Analysis department within the Global Non-Production Purchasing Department at Lear, collaborating globally with cross-functional purchasing business units in Asia Pacific, Europe & Africa, and America. Based at UOA Business Park, Shah Alam, this role reports to the Director in Europe.
The Role
Key responsibilities include the following:
- Develop data science solutions, including algorithms through Palantir Foundry.
- Support team efforts in leveraging pre-defined Machine Learning models to address procurement challenges such as autonomous sourcing.
- Participate actively in Palantir Foundry knowledge sharing sessions during office hours and collaborate.
- Engage in data cleaning and Exploratory Data Analysis (EDA).
- Assist in data ingestion and optimize data architecture.
- Automate processes within the Non-Production Purchasing department.
- Identify and explore new and novel data sources, both internally and externally.
- Support teams in gaining experience and knowledge in data usage, and promote a data-driven culture.
Qualifications
- Bachelor degree in Computer Science or any STEM field (Science, Technology, Engineering, and Mathematics).
- At least 4 years of hands-on experience in statistical, econometric, or engineering analysis, large-scale optimizations, artificial intelligence, machine learning, data mining and processing, and SQL.
- Proficient in Python, machine learning, and modeling.
- Experience in data architecture and relational databases, such as Snowflake and SQL Server.
- Enthusiasm for working with large datasets with high work accuracy.
- Willing to work with international team.
- Selected candidates will need to go through Palantir Foundry Certification training. (Can be done online).
- Results-oriented with a growth mindset and the ability to multi-task.
- Strong interpersonal skills and the ability to communicate analysis and results effectively.
Advantages Of Working At Lear
- Join the growing team at one of Fortune magazine’s World’s Most Admired Companies 2023.
- Be on the front end of multiple initiatives in Malaysia and building talents.
- Enjoy an inclusive work environment that encourages innovation and creativity.
Drive your career
Lear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world. Our diverse team of talented employees in 38 countries is driven by a commitment to innovation, operational excellence, and sustainability. Lear is Making every drive better™ by providing the technology for safer, smarter, and more comfortable journeys. Lear, headquartered in Southfield, Michigan, serves every major automaker in the world and ranks #179 on the Fortune 500.
As a member of Asia Business Planning and Analysis team, the Data Scientist is responsible to work alongside the Business, Planning, and Analysis department within the Global Non-Production Purchasing Department at Lear, collaborating globally with cross-functional purchasing business units in Asia Pacific, Europe & Africa, and America. Based at UOA Business Park, Shah Alam, this role reports to the Director in Europe.
The Role
Key responsibilities include the following:
- Develop data science solutions, including algorithms through Palantir Foundry.
- Support team efforts in leveraging pre-defined Machine Learning models to address procurement challenges such as autonomous sourcing.
- Participate actively in Palantir Foundry knowledge sharing sessions during office hours and collaborate.
- Engage in data cleaning and Exploratory Data Analysis (EDA).
- Assist in data ingestion and optimize data architecture.
- Automate processes within the Non-Production Purchasing department.
- Identify and explore new and novel data sources, both internally and externally.
- Support teams in gaining experience and knowledge in data usage, and promote a data-driven culture.
Qualifications
- Bachelor degree in Computer Science or any STEM field (Science, Technology, Engineering, and Mathematics).
- At least 4 years of hands-on experience in statistical, econometric, or engineering analysis, large-scale optimizations, artificial intelligence, machine learning, data mining and processing, and SQL.
- Proficient in Python, machine learning, and modeling.
- Experience in data architecture and relational databases, such as Snowflake and SQL Server.
- Enthusiasm for working with large datasets with high work accuracy.
- Willing to work with international team.
- Selected candidates will need to go through Palantir Foundry Certification training. (Can be done online).
- Results-oriented with a growth mindset and the ability to multi-task.
- Strong interpersonal skills and the ability to communicate analysis and results effectively.
Advantages Of Working At Lear
- Join the growing team at one of Fortune magazine’s World’s Most Admired Companies 2023.
- Be on the front end of multiple initiatives in Malaysia and building talents.
- Enjoy an inclusive work environment that encourages innovation and creativity.
