Data Scientist
Shah Alam, 10, MY, 40150
Lear Corporation
Driving superior in-vehicle experiences with cutting-edge automotive technology for vehicles from major automakers worldwide.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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data analysis Data Mining EDA Engineering Machine Learning Mathematics ML models Python RDBMS Snowflake SQL Statistics STEM
Perks/benefits: Career development
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