- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Economics, or a
related field.
- 3-6 years of industry experience in building and deploying machine learning solutions and
simulations.
- 1-3 years of industry experience in logistics/operations preferred.
- Excellent communication skills (written and verbal) across departments with different levels of
machine learning knowledge.
- Strong data manipulation and programming skills in Python and SQL, and hands-on experience
with libraries such as Pandas, NumPy, Scikit-Learn, XGBoost.
- Strong problem-solving skills and an ability to analyze complex data.
- In-depth expertise in a range of machine learning and statistical techniques, such as linear and
tree-based models, along with understanding of model evaluation metrics.
- Understanding of linear programming, integer programming, and nonlinear programming.
- Experience with Git, AWS, and deep learning models is advantageous.
