Nuuly Lead Data Scientist

Urbn Sr LLC
Philadelphia, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Philadelphia, United States of America

Tech stack

A/B testing
Data analysis
Artificial Neural Networks
Cluster Analysis
Cursor (Graphical User Interface Elements)
Statistical Hypothesis Testing
Python
Machine Learning
TensorFlow
SQL Databases
Jupyter Notebook
PyTorch
Large Language Models
Model Validation
GIT
Scikit Learn
Information Technology
Machine Learning Operations
Software Version Control

Job description

Nuuly is looking for a Lead Data Scientist who will lead data science work embedded in a new initiative at Nuuly: Inventory Science, aimed at optimizing the acquisition and utilization of inventory across the rental lifecycle. This new initiative will involve utilizing data science and machine learning best practices to achieve business objectives, including demand forecasting, pricing, and experimentation. This individual will play a critical role in leading and executing technical projects in the inventory space and collaborating with stakeholders across the organization. Role Responsibilities:

  • 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.

Requirements

Do you have experience in Version control?, Do you have a Master's degree?, * 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) and model evaluation (troubleshooting, metrics, benchmarking)
  • 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

Leadership and Communication:

  • Serves as a technical mentor and sounding board for other team members
  • 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.

Problem Solving:

  • Ability to analyze complex problems and develop creative solutions.

Preferred Skills:

  • Experience in tech organizations within e-commerce, fashion, or adjacent industries
  • Experience in demand forecasting and pricing
  • Use of coding agents (Claude Code, Cursor)

Education:

  • Masters or PhD degree in Computer Science, Analytics, Data Science, Mathematics or related field or equivalent job experience

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • Paid time off
  • Employee discount
  • Vision insurance
  • Dental insurance

About the company

URBN offers comprehensive Perks & Benefits to employees. Availability and eligibility to specific benefits may be subject to your location and employment status. Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more! For additional information visit www.urbn.com/work-with-us/benefits EEO Statement: URBN celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, sex (including gender, pregnancy, sexual orientation, and gender identity or expression), religion, creed, age, physical or mental disability, national origin or ancestry, ethnicity, citizenship, service in the uniformed services, genetic information, or any other protected characteristic as established by law. We believe strongly in fostering a safe, fair and respectful work environment. To ensure compliance with our non-discrimination and anti-harassment policies, we offer anti-harassment training to managers and employees.

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