URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly)

Nuuly - Senior Data Scientist

URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly) • $120K — $145K *
Philadelphia, PA 19120In-Person
Consumer Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 4+ years in data science or applied ML role, preferably in consumer-facing or e-commerce applications
  • Advanced proficiency in Python and SQL
  • Strong statistical and analytical skills
  • Wide range of ML techniques experience
  • Hands-on experience deploying ML models to production
  • Familiarity with ML tools and libraries
  • Experience with large-scale distributed data systems and real-time data pipelines

Responsibilities

  • Design, prototype, and operationalize ML models for diverse applications
  • Identify and drive value opportunities using ML in collaboration with stakeholders
  • Lead and manage concurrent data science projects through scoping and experimentation
  • Provide mentorship to junior data scientists alongside Engineering and Product teams
  • Maintain robust monitoring of deployed models and facilitate ongoing improvements

Benefits

  • Medical, dental, and vision insurance
  • Paid time off
  • Generous employee discounts
  • Retirement savings plans (like 401k)
  • Other comprehensive perks and benefits
Full Job Description
Role Summary

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 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.
  • 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


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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

About URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly)

URBN is a portfolio of global consumer brands comprised of Urban Outfitters, Anthropologie Group, Free People, BHLDN, Terrain, Nuuly and Menus & Venues. Urban Outfitters, Inc. is a lifestyle specialty retail company that operates under the Urban Outfitters, Anthropologie, Free People, BHLDN, Terrain, Nuuly and Menus & Venues brands. The company's Urban Outfitters brand offers women's and men's fashion apparel, footwear, beauty and accessories, activewear and gear, and housewares, as well as music, primarily vinyl records and cassettes. The Anthropologie Group brand sells women's apparel, accessories, intimates, home decor, and gifts. The Free People brand includes bohemian apparel, accessories, intimates, and swimwear. The BHLDN brand offers wedding collections. The Terrain brand sells home goods, gifts, and garden products. The Nuuly brand is a subscription-based rental service for women's apparel. The Menus & Venues brand is a hospitality group that operates restaurants and catering.
Learn more about URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly)
Size
25,000 employees
Industry
Retail & Consumer Goods
Net Income
$282 million
Founded
1970
5 Year Trend
+5%
Revenue
$4 billion
NASDAQ
URBN
* Ladders Estimates

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