Master's degree in a STEM field or equivalent practical experience.
4 years of industry or PhD Data Science experience.
Experience in causal inference, A/B testing, statistical modeling, or Machine Learning (ML).
Experience with programming in SQL and Python, leveraging ML or statistical libraries (e.g. TensorFlow, Scikit-learn, XGBoost, Keras, Pandas).
Preferred qualifications:
PhD in a STEM field.
Publications related to Data Science, posters or presentations in Artificial Intelligence/Machine Learning (AI/ML) conferences, or patents.
Experience in a Data Science role supporting Sales, Marketing, or Customer Support.
Experience in Natural Language Processing (NLP), Large Language Models (LLMs), Generative Artificial Intelligence (AI), and R.
Experience drawing conclusions from data, breaking down technical concepts into simple terms, connecting with, and presenting to, technical and non-technical stakeholders, and recommending actions.