Data Scientist: ML & Analytics for Retail Growth

Ulta Beauty; Bolingbrook (IL); On-site; USD 103,000 - 130,000; Full time

Benefits offered by this job

Health benefits

Dental benefits

Vision benefits

Life insurance

Disability benefits

Job summary

Ulta Beauty in Bolingbrook, IL is seeking a data scientist to design and productionize machine learning models that optimize guest experiences and operational tactics across our omnichannel platforms.

You will mine data from 1500+ stores and our e-commerce system, collaborate with AI engineering, and translate business needs into technical scope while maintaining data quality and governance.

Qualifications

• 2+ years of professional experience in data science, ML or analytics in production.
• Advanced degree in a quantitative field; equivalent experience considered.
• Strong knowledge of ML concepts (supervised/unsupervised, regression, inference).
• Proficiency in Python and scientific/ML libraries (SciPy, NumPy, scikit-learn).
• Experience building and maintaining ML pipelines and production models.

Responsibilities

• Design and deploy data science and ML models to optimize operations and guest experiences.
• Research new ML approaches to drive innovative retail solutions.
• Mine data across stores, e-commerce, and loyalty programs to enable data-driven decisions.
• Partner with AI engineering and architecture to provide DS perspective in cross-functional work.
• Translate business needs into a concrete technical scope and ensure data quality.

Skills

Python

Data science

Machine learning

Statistical inference

Multivariate regression

Communication skills

Education

Advanced degree in quantitative field

Tools

Databricks

GCP

CI/CD

MLflow

Git

Airflow

Jenkins

PySpark / Spark ML

TensorFlow / PyTorch

Job description

Ulta Beauty in Bolingbrook, IL is seeking a data scientist to design and productionize machine learning models that optimize guest experiences and operational tactics across our omnichannel platforms.

You will mine data from 1500+ stores and our e-commerce system, collaborate with AI engineering, and translate business needs into technical scope while maintaining data quality and governance.