Senior Data Scientist
URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly)
BigQueryPythonPyTorchScikit-LearnSQLTensorflow
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudGoGoogle Cloud PlatformPandasPythonScikit-LearnSQLTableau
About the role
- Lead transformation of manual customer evaluation processes into automated, data-driven insights to accelerate deal velocity and enhance product intelligence.
- Own and optimize manual analysis processes currently managed by Sales Engineering.
- Translate customer evaluation data into compelling insights and ROI narratives.
- Develop standardized frameworks to quantify business impact across industries.
- Create automated reporting for prospect presentations and internal visibility.
- Build scalable analytical workflows to replace time-intensive manual tasks.
- Design templated frameworks adaptable to various customer profiles.
- Implement quality assurance mechanisms to ensure accuracy and consistency.
- Create processes that scale with organizational growth and complexity.
- Aggregate insights across evaluations to identify market trends and opportunities.
- Build feedback mechanisms to inform Product roadmap and enhancements.
- Develop benchmarking capabilities to contextualize customer performance.
- Present data-driven recommendations for product improvement.
- Collaborate cross-functionally with Sales Engineering, Product, and Customer teams.
- Contribute to Presales and Professional Services efforts delivering implementation, configuration, and optimization of identity verification and fraud prevention solutions.
- Travel for team collaboration, process workshops, and stakeholder meetings (estimated 20-25%).
Requirements
- Proficient experience in data science, analytics, or process automation.
- Proficiency in Python/R, SQL, and statistical libraries (e.g., pandas, scikit-learn).
- Experience with data visualization tools (Tableau, Power BI, QuickSight).
- Familiarity with cloud platforms (AWS, Azure, GCP) and modern data stack tools.
- Strong understanding of B2B sales processes and customer evaluation methodologies.
- Experience translating technical findings into business value and ROI frameworks.
- Ability to create compelling presentations for technical and non-technical audiences.
- Knowledge of financial modelling and value proposition storytelling.
- Self-starter with a proactive mindset and ownership mentality.
- Effective communicator across cross-functional teams.
- Experience in customer-facing roles (e.g., sales engineering, technical consulting).
- Ability to work independently while building scalable solutions for the broader team.
