Statistician with Python - Freelance AI Trainer

Bachelor's, Master’s or PhD Degree in Statistics, Biostatistics, Econometrics and/or in a relevant area. Professional experience in Applied Statistics, Bayesian Statistics, Biostatistics, Econometrics, Economic Statistics, Experimental Design (DOE) & A/B Testing, Generalized Linear Models (GLMs), Hypothesis Testing, Machine Learning (e.g., Classification, Regression, Clustering), Probability Theory, Statistical Modeling, Time Series Analysis. Advanced (C1) or above English level. Expertise in statistical modeling and data analysis, including descriptive and inferential statistics, regression analysis, experimental design, and machine learning. Proficiency in Python, with experience using libraries such as Pandas, NumPy, SciPy, Statsmodels, and Scikit-learn. Strong ability to design creative and diverse problems, particularly those that are computationally intensive and go beyond simple parameter modifications. Ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.

Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge.