Nuuly Senior Data Scientist

Nuuly Rent; Philadelphia (Philadelphia County); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading company in the retail sector is seeking a Senior Data Scientist to drive machine learning initiatives and analytics across their brand. The role involves model development, project ownership, and collaboration with cross-functional teams to enhance customer experience and operational efficiency. Candidates should have strong technical skills in Python, SQL, and machine learning, with a focus on delivering scalable solutions.

Benefits

Medical, dental, and vision insurance

Generous employee discounts

Retirement savings plan

Paid time off

Qualifications

• 4+ years in a data science or applied ML role.
• Advanced proficiency in Python and SQL.
• Experience deploying ML models to production.

Responsibilities

• Design, prototype, and operationalize ML models.
• Lead and contribute to multiple concurrent projects.
• Provide technical mentorship to junior data scientists.

Skills

Python

SQL

Statistical Analysis

Machine Learning

Data Visualization

Education

Master’s or PhD in Computer Science, Statistics, Data Science, or related field

Tools

TensorFlow

PyTorch

scikit-learn

Jupyter Notebooks

Job description

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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.

Role Responsibilities

• Model Development & Deployment: Design, prototype, and operationalize ML models 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.
• Business-Driven Analytics: 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.
• Project Ownership: 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.
• Mentorship & Collaboration: Provide technical mentorship to junior data scientists. Partner with Engineering and Product to ensure ML solutions are scalable, measurable, and robust in production.
  
  

Role Qualifications

• 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
  
  

Additional

• 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
  
  

Preferred Skills

• 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
  
  

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Retail, Retail Apparel and Fashion, and Consumer Services

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