Skills, expertise, competence
- Understands Data engineering and data science concepts
- Has basic understanding of handling data using various data techniques
- Can perform exploratory data analysis on the given data
- Proficient with SQL, Python, ML techniques, Data Analysis
- Willingess to develop a story line from data
- Performs model evaluations and reviews results with more experienced peers before presenting to customers
- Should have good coding experience using various packages in Python library
- Has university degree and knowledge in statistics and ML/AI algorithms, solutions, metrics and KPIs
Team, perception
- Can work in an agile team environment
- Should be a quick learner and should have eye for details
- Proactively asks for senior guidance and connects to other peers
- Has the ability to work independently and seek knowledge with limited guidance
- Customer Interaction
- Focus on picking requests from customers and ability to resolve them with some guidance from peers
- Can participate in presenting the analysis to customers together with peers
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values
Diversity, Inclusion, Value & Equity (DIVE) is our strategy for fostering an inclusive environment we can be proud of. Check out Blue Yonder's inaugural Diversity Report which outlines our commitment to change, and our video celebrating the differences in all of us in the words of some of our associates from around the world.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
