Manage machine learning and statistical models to address various business needs
Demonstrate strong expertise in designing and executing A/B tests, analyzing experiments, and troubleshooting ML model behavior.
Conduct causal inference studies and exploratory analyses to measure the impact of strategic initiatives and inform decision-making at scale.
Collaborate within data science and analytics organizations and communicate across multiple functional/technical areas
Effectively manage timelines and deliverables for multiple technical projects.

At least 7 years job experience in data science/machine learning
Strong statistical and analytical skills (e.g., hypothesis testing, distributional analysis, uncertainty estimation)
Experience with a wide range of ML techniques (e.g., tree-based models, clustering, neural networks, time series forecasting)
Strong familiarity with ML tools and libraries (e.g., scikit-learn, TensorFlow, PyTorch, Jupyter Notebooks)
Strong Python and SQL experience
Strong with ML tools (e.g., scikit-learn, Jupyter Notebooks, TensorFlow, PyTorch, LLMs).
Understanding of fundamental Machine Learning concepts (train/dev/test sets, overfitting, scoring metrics).
Experience with version control/git
Excellent communication and interpersonal skills to collaborate effectively with both technical and non-technical stakeholders.
Strong interest in the Nuuly business, and figuring out how to tailor ML solutions to the uniqueness of the rental business model.
Ability to analyze complex problems and develop creative solutions.
Experience in tech organizations within e-commerce, fashion, or adjacent industries
Experience in demand forecasting and pricing
Use of coding agents (Claude Code, Cursor)

Lead Data Scientist

Key skills