At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win.
We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
NICE is a market leader in Work Force Management (NICE-WFM)
We are seeking dynamic interns or full- time employees, who would love to work with different technologies in an Agile environment, use their superior analytical and problem solving abilities and love to work in a collaborative environment.
Work Schedule : Full time (40 hours / week) during summer with ability to continue part-time (20 hours / week) in Fall / Spring Semesters.
What our product uses and what our development team does :
- Our product(s) are used by Fortune 500 Companies worldwide and our applications are localized
- Our Engineers have a hands on experience with Continuous Integration and Test Driven Development
- Our Engineers develop solid unit, integration, and automation tests according to organizational standards
- Our Angular web applications are built with Unit and E2E tests using Protractor and Playwright. Microservice tests are automated using JSystem and Cucumber.
- Our Development team works with our DevOps team to define and implement CICD pipelines using Maven and Jenkins
What our OR team does :
- Our OR engineers work closely with Product team to design OR models
- Our OR engineers work very closely with development team to share OR models to them for efficient implementation
- Our OR engineers work collaboratively with development team to design test on implementation and analyze test results and look for opportunities to improve / redesign models as needed
What skills can you bring :
- Operations Research
- Machine Learning algorithm knowledge
- Python
- AnyLogic
- Your creative ideas
- Your eagerness to learn
- Your sense of being part of a successful team working together to accomplish the goals
Types of things you will do :
- Developing model to tuning scheduling model to satisfy requirements
- Validation with test report and research testing
- Use data analyses and statistical techniques to develop solutions to improve model and to guide decision making
- Work closely with engineers, product managers, other teams owning a large part of the process from problem understanding to shipping the solution.
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