Master's degree in a Science, Technology, Engineering, Mathematics field or equivalent practical experience.
7 years of industry or PhD Data Science experience.
Experience in causal inference, A/B testing, statistical modeling, or machine learning.
Experience programming with SQL and Python, leveraging ML or statistical libraries (e.g., TensorFlow, Scikit-learn, XGBoost, Keras, Pandas).
Experience with people management within a Data Science or analytical team.
Preferred qualifications:
PhD in Science, Technology, Engineering, Mathematics fields.
Experience in a Data Science role supporting Sales, Marketing, or Customer Support.
Experience in Natural Language Processing (NLP), Large Language Models (LLMs), Generative 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.
Publications related to Data Science, posters or presentations in AI/ML conferences, or patents.