What are the responsibilities and job description for the Nuuly Data Scientist position at URBN?
Urban Outfitters, Inc. (NASDAQ: URBN, www.urbn.com) is a Fortune 1000 company with $3.4 Billion in revenues offering lifestyle merchandise to highly defined customer niches through brands including Urban Outfitters, Anthropologie, Free People, Terrain, BHLDN, and Nuuly. Nuuly is the newest brand under the URBN umbrella, focusing on circular fashion and offering a subscription rental experience for women’s apparel. At Nuuly, we pride ourselves on a relaxed office culture, including flexible work from home, and campus perks, including a gym. When in the office, our employees enjoy our beautiful, dog-friendly workplace at the Philadelphia Navy Yard.
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Title |
Data Scientist |
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Reports to |
Sr. Manager, Data Science |
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Overview |
The Nuuly Data Science organization 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. Our team is a full-service Machine Learning solution provider, taking projects from ideation and requirements through deployment of production services. We work closely with the Engineering teams on a wide range of projects including an in-house personalization system, demand forecasting, dynamic pricing, and logistics optimization.
The Nuuly Data Science team is part of the larger URBN Data Science organization and is responsible for the Data Science, Machine Learning, Analytics and Reporting functions at Nuuly. 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. We work closely with the Engineering organization on a very wide range of projects including an in-house on-site personalization system, dynamic pricing, and a warehouse optimization system for our fulfillment center in Bristol, PA. |
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Responsibilities |
As a rapidly growing brand, Nuuly has a broad array of fresh business campaigns that you will have the opportunity to help shape and execute. Nuuly is driven by a state-of-the-art Kafka-based streaming data platform, which provides unfettered access to data both in real-time and offline. This enables the Data Science team to flexibly iterate on prototypes, and seamlessly integrate new capabilities. You will design, build, evaluate, and support deployment of machine learning models and systems. This includes working closely with other data scientists, ML engineers, and data engineers to perform: ● ML Modeling: Evaluate and build statistical and machine learning models with an emphasis on business impact and time-to-production. Approaches span from basic regressions to advanced neural networks. ● Analysis: Support opportunities to add value to the business through application of statistical and ML techniques. Quantify the impact of those opportunities and communicate the outcome to peers and leaders. ● ML Deployment: Support Nuuly ML engineers in deploying data science algorithms in production. This includes containerizing algorithm training and inference workflows, building data pipelines, and monitoring already-deployed ML systems. |
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Desired skills and experience
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Desired skills/experience: ● Experience with python ● Experience with SQL ● ML tools (TensorFlow, pyTorch, scikit learn, Jupyter Notebooks, etc.) ● Understanding of fundamental Machine Learning concepts, including: experience with train/validation/test sets, overfitting, scoring metrics, neural network applications, etc.
Opportunities to learn with the team: ● Experience using ML approaches on real-world applications ● Containerization (Docker) ● Cloud platforms (Google Cloud Platform, etc.) ● Cloud infrastructure (Virtual Machines, Cloud Storage, etc.) ● Performance evaluation of deployed, customer-facing applications and ML models ● Data or ML orchestration frameworks (MLflow, Airflow, etc.) |
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Education |
A degree in Computer Science, Analytics, Data Science, Mathematics or related field or equivalent job experience |
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Location |
Philadelphia, PA |
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Travel |
Not required |
Urban Outfitters, Inc. 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.
