At least 3-5 years of experience in data science, with a significant focus on demand prediction and analytics.
Proven expertise in machine learning and deep learning, with hands-on experience using libraries like scikit-learn and frameworks like PyTorch.
Excellent grasp of various data structures, data transformation methods, and the ability to assure data integrity.
Demonstrated success in statistical modelling, including but not limited to Regression, Clustering, and Decision Trees, and adept at solving complex problems through these techniques.
Proficiency in programming, particularly in Python, as well as experience with SQL and NoSQL databases