Data Scientist

8-10 years
21 days ago 4 Applied
Job Description

is on the forefront of technology innovation, delivering breakthroughs and trusted insights to the world's visionaries and innovators 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 technical solutions - and our methods for creating them - help connect and secure the world. Learn more

Our powerful culture has led to us being independently recognized on We're driven, collaborative, ethical, and curious, and we value all ideas, especially bold ones. And our culture extends far beyond our own walls. Our corporate social responsibility efforts support our communities, nurture the next generation of engineers, and promote environmental sustainability.

At Keysight, Inclusion, Equity & Diversity is an integral part of our core values. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We believe everyone should be respected in the workplace and in their communities regardless of race, color, age, gender, sexual orientation, gender identity and expression, ethnicity, religion, disability, veteran status, national origin, or any protected class. We continuously challenge ourselves to grow in our understanding of inclusion by engaging in a wide variety of diversity programs, initiatives, employee network groups and mentoring/development.

Job Description

  • End-to-end delivery of data analytics projects including project framework, analysis technique and implementation of data science models
  • Analyse and interpret large volume and complex datasets to extract insights, trends, and patterns, helping organizations make data-driven decisions.
  • Integrate external factor and global context into analytical models to enhance predictive accuracy and provide a broader context for decision making.
  • Apply various data science technologies: statistical analysis, machine learning and pattern recognition with subject-specific modelling to address opportunities in business performance and achieve supply chain efficiencies.
  • Design experiments and statistical tests to validate hypotheses.
  • Present findings to non-technical stakeholders in a clear and understandable manner

Job Qualifications

. A bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or related fields, with a minimum of 8 working years of experience.
. Strong background in statistics and probability theory is essential for analyzing and interpreting complex data.
. Proficiency in programming languages commonly used in data science, such as Python or R. Familiarity with tools like SQL for database querying is also valuable.
. Understanding and practical experience with machine learning techniques and algorithms. This includes supervised and unsupervised learning, regression, classification, clustering, and more.
. Ability to create meaningful visualizations to communicate complex findings effectively. Familiarity with tools like Matplotlib, Seaborn, or Tableau can be beneficial.
. Strong communication skills to explain complex technical findings to non-technical stakeholders and decision-makers.
. Having supply chain knowledge will be an added advantage.

Job Function


At Keysight, we believe every breakthrough idea starts with a vision. We work with the visionaries who imagine what&#8217&#x3B;s next for a more connected and safer world, exploring the edges of test and measurement science to enable these innovators to create the technologies that define our future. With more than 80 years of a rich history of innovation and over 1700 US and foreign patents issued or pending, we have customers in more than 100 countries around the globe, served by a passionate and diverse workforce of more than 13,000 employees. With a vision of helping to build a better planet, we take our corporate responsibility efforts to heart, employing environmentally sustainable and socially responsible operations, which have led us to be selected as a North American Index Component of the Dow Jones Sustainability Index (DJSI).

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