URBN Data Scientist

Role Summary

URBN is seeking Data Scientist to contribute to the development and implementation of machine learning solutions that enhance our digital ecosystem. This is a fantastic growth opportunity to learn new technologies and apply your skills in an innovative environment. As a Data Scientist, you will be an executor, working closely with senior Data Scientists, Product Management, and Engineering. You'll gain hands-on experience turning data into actionable insights and contributing to scalable AI capabilities that support multimodal text/image analysis, forecasting, AI image generation, automation, and operational intelligence within a generalist scope.

This is a unique opportunity to join an innovative, AI-first project at URBN as a Data Scientist. You will play an important role in implementing cutting-edge machine learning solutions, gaining valuable experience in a fast-paced, collaborative environment. If you are passionate about applying your data science skills, eager to learn and grow, and excited by the potential of AI to transform retail and digital experiences, this is the perfect position for you. Develop your skills, work with modern technologies, and contribute to shaping the future of intelligent commerce at URBN. Join us and be part of the next evolution of data-driven solutions!

Role Responsibilities

• Implement and evaluate machine learning models using Python to support cutting-edge applications in forecasting, optimization, multimodal datasets, or AU image generation.
• Perform data exploration, analysis, and feature engineering to prepare data for modeling.
• Collaborate with team members and engineers to help integrate ML solutions into digital products and workflows.
• Analyze datasets to generate actionable insights and support data-driven recommendations.
• Contribute to the development and maintenance of data pipelines and ML infrastructure.
• Test hypotheses and analyze the results of product experiments to help drive continuous improvement.
• Adhere to best practices in model development, validation, and ethical AI principles (fairness, transparency).
• Work with Product Management and senior team members to understand business needs and contribute to technical solutions.
• Stay current on emerging machine learning techniques and tools relevant to the role.

Role Qualifications

• 1+ years of relevant experience in data science or machine learning (including strong internships or academic projects).
• Hands-on experience with Python and common data science/machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Stable Diffusion, MidJourney).
• Experience with data analysis and exploration techniques.
• Understanding of core machine learning concepts and algorithms.
• Experience with SQL for data querying and manipulation.
• Good communication and collaboration skills, with an ability to work effectively within a team.
• Eagerness to learn new technologies and methodologies in the AI/ML space.
• Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Engineering, Mathematics) or equivalent practical experience.

The Perks

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.