Nuuly - Senior Data Scientist

Nuuly•Philadelphia, PA

About The Position

Nuuly is hiring a Senior Data Scientist. The URBN Data Science organization builds, deploys, and maintains Machine Learning systems that drive innovation across the URBN portfolio. Our full-service team combines machine learning, software engineering, data engineering, analytics, and program management to deliver scalable, production-ready solutions. As part of URBN Data Science, the Nuuly team is responsible for all advanced analytics, reporting, and ML initiatives across the Nuuly brand. We partner closely with engineering to develop systems that power core customer and operational functions—including personalization, dynamic pricing, forecasting, and warehouse optimization. The Senior Data Scientist will act as a technical and strategic leader within the Nuuly Data Science team, applying advanced machine learning and statistical techniques to high-impact problems. This role will drive end-to-end project execution and shape the roadmap for ML solutions at Nuuly.

Requirements

4+ years in a data science or applied ML role, preferably with consumer-facing or e-commerce applications
Advanced proficiency in Python and SQL
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)
Hands-on experience deploying ML models to production (e.g., containerization, monitoring, A/B testing)
Strong familiarity with ML tools and libraries (e.g., scikit-learn, TensorFlow, PyTorch, Jupyter Notebooks)
Experience working with large-scale distributed data systems and real-time data pipelines (e.g., Kafka)
Ability to translate business problems into technical solutions and communicate findings clearly to technical and non-technical stakeholders
Strong interest in learning the Nuuly business
Positive attitude and excellent interpersonal and communication skills
Self-motivated and able to deliver on tasks
Detail-oriented
Ability to think critically and develop creative solutions to complex problems

Nice To Haves

Master’s or PhD in Computer Science, Statistics, Data Science, or a related quantitative field
Experience working with Google Cloud Platform or other cloud infrastructure (e.g., GCS, BigQuery, Compute Engine)
Familiarity with orchestration and ML workflow tools (e.g., MLflow, Airflow, Kubernetes)
Experience in retail, fashion, logistics, or subscription services

Responsibilities

Design, prototype, and operationalize ML models at pace that support customer experience, inventory management, pricing, and logistics. Approaches range from classic regressions to deep learning.
Work with ML engineers to deploy containerized inference services into production environments.
Identify opportunities to drive value using ML, working cross-functionally with stakeholders in Product, Engineering, and Operations.
Design and lead analyses to validate business hypotheses and influence decisions.
Lead and contribute to multiple concurrent projects.
Drive scoping, experimentation, model iteration, stakeholder communication, and post-deployment monitoring.
Contribute to sprint planning and roadmap prioritization.
Provide technical mentorship to junior data scientists.
Partner with Engineering and Product to ensure ML solutions are scalable, measurable, and robust in production.