URBN Senior Data Scientist Job at URBN Outfitters, Inc.
URBN Urban Outfitters, Inc. (www.urbn.com) is a portfolio of global consumer brands comprised of Anthropologie, BHLDN, Free People, FP Movement, Terrain, Urban Outfitters, Nuuly and Menus & Venues. Over the last 50 years, we have inspired our customers through our creative and entrepreneurial approach to products and services. At URBN, we Lead with Creativity…. Creativity guides our approach to product, environment, experience, and community. It drives our vision, strategy, and decision-making. It touches every job at URBN.
Title
Senior Data Scientist
Reports to
Principal Data Scientist
Overview
The URBN 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. 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 teams on a wide range of projects including an in-house personalization system, demand forecasting, price optimization, and warehouse optimization.
We are seeking a Sr. Data Scientist who will lead the technical execution of multiple initiatives in the Logistics domain. These include fulfillment, allocation, demand forecasting, and end-to-end logistics simulations. This role will interact closely with the Data Science organization leadership, the Data Science Program Manager, and stakeholders in the Logistics division in order to scope and execute optimizations in logistics.
Responsibilities
- ML Modeling: Build and evaluate statistical and machine learning models to support multi-node fulfillment objectives, inventory optimization, and forecasting.
- Analysis: Process data sourced from disparate SQL databases. Execute models under various scenarios and configurations. Quantify the impact of those opportunities and communicate the outcome to peers and leaders.
- Technical Leadership: Take ownership of day-to-day execution of ML Logistics initiatives end-to-end under the guidance and support of Product Management and Data Science leadership.
Desired skills and experience
- Strong python experience
- ML tools (e.g. scikit learn, Jupyter Notebooks, TensorFlow, pyTorch, etc.)
- Application of fundamental Machine Learning concepts to real-world business use cases
- Experience any of the following is preferred, but not required: logistics, forecasting, operations research, or optimization
Opportunities to learn with the team
- Cloud platforms (Google Cloud Platform)
- Cloud infrastructure (Virtual Machines, Cloud Storage, IAM, etc.)
- Performance evaluation of deployed applications, simulations, and ML models
Education
A degree in Computer Science, Analytics, Data Science, Mathematics or related field or equivalent job experience
Location
Navy Yard, Philadelphia, PA. Hybrid work opportunities are available.
The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.
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, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
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.
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