AI & Distribution Analytics Intern — Data-Driven Ops

Sephora company; Salt Lake City (UT); Presencial; USD 31.000 - 44.000; Jornada completa

Descripción de la vacante

Sephora’s Utah Distribution Center is offering an internship for an AI & Distribution Analytics intern. This 10-week program focuses on applying AI, data analytics, and process improvement to operations at the UDC, including inventory, labor, safety, and automation.

You will work 36 hours per week, Monday–Friday, Pacific Time, with opportunities to build dashboards and data-driven insights, and potential relocation to Bay Area for full-time roles.

Formación

• Undergraduate or graduate student in a related field with relevant coursework.
• Experience with AI tools and ML concepts; predictive modeling preferred.
• Experience analyzing data with SQL, Python, or R; visualization with Power BI or Tableau preferred.
• Knowledge of warehouse operations or supply chain processes is a plus.
• Strong analytical and communication skills with cross-functional collaboration.

Responsabilidades

• Analyze Utah Distribution Center data to identify trends, bottlenecks, and opportunities.
• Apply AI, predictive modeling, and optimization to improve inventory flow, labor, and capacity.
• Evaluate automation and process performance to boost uptime and productivity.
• Develop dashboards and reports translating data into actionable insights.
• Collaborate with cross-functional teams to test recommendations and implement capstone solutions.

Conocimientos

AI tools

Machine learning

Predictive modeling

Data analysis

Educación

Industrial Engineering

Supply Chain Management

Data Science

Computer Science

Artificial Intelligence

Operations Research

Herramientas

SQL

Python

R

Power BI

Tableau

Descripción del empleo

Sephora’s Utah Distribution Center is offering an internship for an AI & Distribution Analytics intern. This 10-week program focuses on applying AI, data analytics, and process improvement to operations at the UDC, including inventory, labor, safety, and automation.

You will work 36 hours per week, Monday–Friday, Pacific Time, with opportunities to build dashboards and data-driven insights, and potential relocation to Bay Area for full-time roles.