Experience in Analyzing Complex Problems and translate it into data science algorithms
Experience in machine learning supervised and unsupervised: Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms, LLM
Experience in statistical learning: Predictive Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling
Designing high level architectures and solutions for large scale ML systems and / or building solutions for a product on AI / ML features / capabilities
Ability to handle AWS Sagemaker, Docker, Git
Ability to multitask and work on a diverse range of requirements
Excellent scripting skills in Python with understanding of version control, libraries and cloud (AWS)