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A leading technology company in electronics is seeking a Data Scientist to leverage data analysis and machine learning to drive business decisions. You'll work within an AGILE team, analyzing complex customer challenges, developing predictive models, and communicating insights effectively. Ideal candidates should have a Bachelor's degree and 3-5 years of relevant experience, with strong proficiency in Python and knowledge of big data databases.
Keysight is at 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.
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. Perform data collection and cleaning, conduct exploratory data analysis, develop and implement machine learning models and algorithms for predictive analytics, and deliver clear and informative data visualizations.
About the Team: 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 a Manager, Architect, Data Engineers, Data Scientists, UI/UX Developers and DevOps Engineers, delivering first-in-class software solutions to our customers.
Responsibilities: The data scientist will leverage data to extract valuable insights, make predictions, and drive business decisions across a wide range of industries and domains. Responsibilities require a combination of technical skills, domain expertise, and effective communication to deliver actionable results.
As the data scientist, you will do the following:
Basic Qualifications:
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Keysight is an Equal Opportunity Employer.