URBN Senior Data Scientist
Urban Outfitters
- Philadelphia, PA
- Permanent
- Full-time
- 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.
- Understanding of machine learning algorithms, statistical analysis, and predictive modeling applied to real-world business use cases
- Proficiency in advanced analytics methodologies such as time series analysis, clustering, and classification.
- Expert-level proficiency in Python for complex modeling.
- Proficiency in SQL for complex data analysis across disparate data sources.
- Familiarity with relevant data science libraries and tools (e.g., Pandas, NumPy, scikit-learn, ggplot2).
- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, Keras, etc.
- Experience any of the following is preferred, but not required: logistics, forecasting, operations research, or optimization
- Cloud platforms (Google Cloud Platform)
- Cloud infrastructure (Virtual Machines, Cloud Storage, IAM, etc.)
- Performance evaluation of deployed applications, simulations, and ML models
- A degree in Computer Science, Analytics, Data Science, Mathematics or related field or equivalent job experience