Product Manager, Entry

Overview

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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

• Work closely with experienced end users in a data-driven environment.
• Apply knowledge engineering and machine learning techniques to solve real business problems with Python, R, Java. TensorFlow, or other related technical skillsets
• Participate in the end-to-end analysis process, from discovery to final solution delivery.
• Translate business requirements into knowledge engineering or AI-related problems and propose potential solutions based on data understanding.
• Develop knowledge engineering/optimization models.
• Assist in identifying and exploring new business opportunities.
• Manage the end-to-end delivery of solutions and engage stakeholders.
• Stay up-to-date with AI techniques and technologies.
• Assist Data Scientists/Analysts in research, experimentation, development of new approaches in high value projects deliveries.
• To work in team collaboration on data mining, visual/descriptive analytics, machine learning, cloud computing platforms (AWS, Azure), using any suitable statistical/numerical techniques.
  
  

Qualifications

Careers Privacy Statement

***Keysight is an Equal Opportunity Employer.***

• Holds a minimum degree in computer science, machine learning, artificial intelligence, or related.
• Possess strong business analysis skills to interpret business needs and translate them into system requirements.
• Have a good understanding of knowledge engineering and machine learning techniques, with practical experience preferred.
• Competent in platform development and familiar with programming languages and database handling.
• Technical skillset:
• Programming languages: Python, R, Java
• ML frameworks and libraries: TensorFlow, PyTorch, Scikit-learn
• Cloud computing platforms: AWS, Azure, Google Cloud
• Ability to work in cross-functional teams.
• Outstanding collaboration, interpersonal, and communication (written and verbal) skills in English.