URBN Senior Data Scientist

URBN is hiring a Senior Data Scientist to join the Data Science Organization. This team is responsible for building, deploying, and maintaining Machine Learning systems to support the URBN brands. Our expertise spans project management, machine learning, software engineering, data engineering, and analytics. Unlike most Data Science organizations, our team is a full-service Machine Learning solution provider, taking projects from ideation and requirements through deployment of production services.The Senior Data Scientist role requires a strong foundation in data science and machine learning best practices, with the ability to design and deliver data-driven solutions that inform business decisions and power ML-based initiatives. This role will focus on a blend of analytical and machine learning project work, collaborating closely with cross-functional team members and brand partners across the organization. We collaborate with brand teams on marketing and analytics initiatives, spanning customer insights, marketing performance optimization, and broader strategic projects like store clustering that go beyond traditional marketing. The ideal candidate will be comfortable navigating both structured analysis and model development, translating insights into actionable outcomes that support strategic goals.Perform deep-dive analyses to understand and optimize the customer experienceManage the end-to-end data pipeline, including acquisition, cleaning, processing, and feature engineering.Create reports and visualizations that drive decision-making for a variety of partners, including Marketing, Product, Personalization, and FinanceDevelop and implement statistical and machine learning models for customer segmentation, predictive modeling, and other business applications.Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.At least 3 years in a data science role with machine learning project experienceAdvanced SQL proficiencyExtensive experience with Python (R is a plus)Ability to identify patterns and trends in data and generate relevant business insightsExcellent communication skills, with the ability to tailor technical insights to both technical and non-technical audiences.Strong analytical, technical, and problem-solving skillsSelf-starter who can manage priorities independently while collaborating effectively within a cross-functional team environment.Strong attention to detail without losing sight of the bigger pictureSolid understanding of fundamental Machine Learning concepts (train/dev/test sets, overfitting, scoring metrics)Experience with Cloud platforms (Google Cloud Platform, Amazon Web Services, or Microsoft Azure, etc.) is preferredStrong with ML tools (e.g., scikit-learn, Jupyter Notebooks, LLMs)Experience with data visualization tools, such as Looker Studio, MicroStrategy, or TableauExperience in Customer, Marketing, or eCommerce is a plusExperience with web and marketing analytics tools, such as Google Analytics is a plusMS Degree or relevant work experience in Analytics, Mathematics, Data Science, or any other related Analytical field#LI-BL1URBN 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/benefitsURBN 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.