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A leading technology firm in Malaysia is seeking a Data Scientist to leverage data analysis and machine learning techniques. In this role, you will work with an AGILE team to solve complex customer challenges, implement predictive models, and communicate insights effectively. Candidates should have a Bachelor’s degree and 3 to 5 years of relevant experience. Proficiency in Python and Java is preferred, along with strong problem-solving skills. This role offers opportunities to work on cutting-edge solutions in various industries.
Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
About the Job:
The job is to use data analysis, statistical techniques, machine learning, and domain knowledge to extract valuable insights and solve complex problems. You will work in an AGILE team to solve complex customers’ challenges. Performing data collection and cleaning, perform exploratory data analysis, develop and implement machine learning models and algorithms for predictive analytics, and deliver clear and informative data visualization.
We are part of the PathWave Manufacturing Analytics R&D team that is responsible for the growth of the Keysight businesses. The team consists of Manager, Architect, Data Engineers, Data Scientists, UI/UX Developers and DevOps Engineers. Delivering first in class software solution to our customers.
The candidate is responsible for leveraging data to extract valuable insights, make predictions, and drive business decisions across a wide range of industries and domains. Candidate’s responsibilities require a combination of technical skills, domain expertise, and effective communication to deliver actionable results.
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