Data Scientist — Enterprise AI & Retail

Ulta Beauty; Bolingbrook (IL); Presencial; USD 103.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits

Dental and vision coverage

Paid time off

Descripción de la vacante

Ulta Beauty is seeking a Data Scientist to join the Enterprise AI team. You will mine rich data assets, build predictive models, and deploy large-scale analytics in a fast-paced retail environment.

You will collaborate with AI engineering and product teams to drive data-driven decisions across 1500+ stores and an omnichannel platform. The role emphasizes production readiness, strong Python skills, and the ability to communicate complex results to diverse stakeholders.

Formación

• Advanced degree required in a quantitative field or equivalent professional experience
• Experience with data science and machine learning concepts and production workflows
• Strong Python expertise with scientific libraries
• Excellent communication to convey complex ideas to diverse audiences

Responsabilidades

• Design and develop data science and ML models to optimize operational metrics and guest experiences
• Research and implement new ML approaches to drive innovative business solutions
• Mine omnichannel data across stores, e-commerce, and loyalty programs to enable data-driven decisions
• Collaborate with AI Engineering to integrate data science perspectives into cross-functional work
• Explain results clearly to stakeholders and drive alignment with business units
• Ensure data integrity via data reconciliation, integration, and audits
• Contribute to enterprise AI capabilities and platforms powering future initiatives

Conocimientos

Python

Statistical modeling

Data visualization

Communication skills

Team collaboration

Educación

Advanced degree in Mathematics/Statistics/CS/Engineering/Economics

Herramientas

Databricks

Spark

MLflow

Descripción del empleo

Ulta Beauty is seeking a Data Scientist to join the Enterprise AI team. You will mine rich data assets, build predictive models, and deploy large-scale analytics in a fast-paced retail environment.

You will collaborate with AI engineering and product teams to drive data-driven decisions across 1500+ stores and an omnichannel platform. The role emphasizes production readiness, strong Python skills, and the ability to communicate complex results to diverse stakeholders.