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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.