URBN Senior Data Scientist

URBN is seeking a Senior Data Scientist to develop AI-powered digital experiences. This individual will serve as the Algorithm Lead, identifying, grouping, and forecasting trends across various sources to enable advanced AI and machine learning solutions that drive innovation within our digital ecosystem. The role involves close collaboration with leadership, Product Management, and Engineering. The Senior Data Scientist will act as a technical Data Science owner, driving the development, implementation, and validation of AI/ML solutions for forecasting.

As Senior Data Scientist, you will play a pivotal role in developing ML solutions that empower multiple AI-first innovations at URBN, ensuring data-driven innovation enhances experiences and decision-making. If you are passionate about AI-powered digital transformation, predictive analytics, and machine learning, we invite you to help shape the future of intelligent retail and digital solutions at URBN.

• Design and implement machine learning models to power fashion data clustering, forecasting, and automation, working with complex, high-dimensional datasets.
• Develop multimodal representations from text and image sources using modern machine learning techniques.

• Collaborate with cross-functional teams to integrate AI solutions into digital products and workflows, partnering with engineers to translate prototypes into scalable features and services.
• Guide data exploration and feature engineering to support high-performing models.
• Analyze large-scale data sets to generate actionable insights and recommendations.
• Partner with Product Management to translate business needs into technical AI solutions.
• Test hypotheses and analyze the results of clustering and forecasting experiments to drive continuous improvement.
• Lead the technical evaluation of external AI/ML tools and vendors, influencing decisions for the technology stack.
• Design and execute forecast validation strategies, including back-testing models against historical sales data, using strong SQL skills and an understanding of enterprise data warehousing (EDW) and organically generated sources.

• 5+ years of industry experience in data science, AI/ML, and predictive analytics.
• Strong proficiency in Python and SQL for data manipulation and analysis.
• Understanding of time series analysis and multivariate forecasting techniques, with familiarity with the e-commerce domain being a plus.
• Practical experience with computer vision, image understanding, multimodal embedding models, or large language models (LLMs).
• Proven success in developing production-level machine learning models.
• Experience in machine learning frameworks and cloud-based AI infrastructure
• Hands-on experience with large-scale data processing, feature engineering, and automation. 
• Ability to translate complex business challenges into data-driven solutions.
• Excellent communication, collaboration, and strategic problem-solving skills.

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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

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.