Bachelor's degree or equivalent practical experience.
2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
2 years of experience managing projects and defining project scope, goals, and deliverables.
2 years of experience in one or more of the following areas: statistical analysis and machine learning libraries (e.g., R, Scikit-learn, Tensorflow), programming languages (e.g., Python, C/C++), Large Language Models (LLMs) or Generative AI.
Preferred qualifications:
Master’s degree or PhD in a quantitative discipline (e.g. Computer Science, Statistics, Mathematics, Operations Research).
Knowledge of current abuse techniques and practices.
Ability to extract and manipulate high volumes of critical, product-related data.
Ability to describe technical implementations or analyses to a non-technical audience in an effective manner.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.