At Keysight, we help companies address their toughest challenges with precision and confidence. We offer the most precise electronic measurement tools in the industry, with advanced software to match. Our employees leverage their insight and passion to revolutionize electronic measurements and make a difference in the world.
Keysight Singapore Center of Excellence is launching a new software development center in Singapore, chartered to create a new generation of software for electronic product design and test for customers around the world. With strong collaborations & partnerships with local universities here in Singapore, the center will attract top local graduates from computer science, artificial intelligence, systems programming and electrical/electronic/computer engineering schools.
You can join our mission to make a real difference through rapid solution development, turning measurement science IP into killer apps, delivered into an always-on, everywhere available, app store ecosystem.
Being part of the software development team, you will work in an AGILE team to turn innovative ideas into robust software, and solve complex design and implementation problems. You will also investigate new technologies and applications, and apply modern software engineering practices such as design reviews, code review, unit testing and usability testing.
Responsibilities - Be part of the taskforce to support and contribute to Keysight’s Industry 4.0 vision
- Work with distributed teams in developing predictive systems, create efficient algorithms to draw intelligence from existing data and Internet of Thing (IoT) datasets
- Work closely with our manufacturing and supply chain domain experts to evaluate, design and implement statistical analyses of manufacturing data to create analytic metrics and tools
- Working through big data problem from data mining, data cleaning, building concept of the model to support decision making through various data analytics techniques and algorithm development involving unstructured and noisy data.
- Establish scalable, efficient, automated processes for model development, model validation, model implementation and large-scale data analysis
- Generate deep insights through the analysis of data and understanding of operational processes and turn them into actionable recommendations
- Collaborate with others in the organization to develop new ideas and brainstorm potential solutions
Job Qualifications - Masters in Engineering, Computer science, Statistic, Mathematics or related quantitative fields
- Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
- Preferred experience with a wide variety of predictive modeling, machine learning, data mining, statistical, text mining, and optimization algorithms (including tools such as R)
- Keen desire to solve business problems; understand patterns and insights within structured and unstructured data.
- Experience with databases in general (Hadoop, NoSQL DBs) and visualization tools
- Excellent critical thinking skills, combined with the ability to present findings clearly and compellingly verbally and in written form.
- Able to translate technical details, observations and results into business language
- Innovative, strong analytical and algorithmic problem solvers.
- Ability to influence and become a trusted advisor
- Nice to have experience with Apache Spark and Scala
Job Function R&D
Shift:
Day Job
Schedule: Full Time (F)
Travel Required:
25%
Duration (Temp Positions Only): 13 - 24 months
