Data Scientist

Ulta Beauty, Inc.•Bolingbrook, IL

About The Position

This Data Scientist is an integral part of the Data Science and Machine Learning practice within our Enterprise AI team at Ulta Beauty. This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by mining our rich data assets to develop features, conducting statistical analyses, building DS/ML models, and constructing large scale prediction systems in a fast-paced, data-focused retail environment. The Data Scientist will also act as a subject matter expert, communicating the value and tackling the application of advanced analytics for various use cases with multiple stakeholders across Ulta Beauty.

Requirements

2+ years of professional experience in data science, machine learning, or analytics functions, with a track record of owning and delivering work in a production environment
Advanced degree in a highly quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, etc. Equivalent professional experience will be considered.
In-depth knowledge and experience with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.)
Proficiency in Python and scientific related frameworks (e.g., Scikit-Learn, NumPy, SciPy etc.)
Hands-on experience designing, deploying, and maintaining machine learning pipelines
Excellent interpersonal, verbal, and written communication skills to communicate complex ideas to various audiences in both a technical and user-friendly language
Demonstrated ability to work effectively both in a team environment and independently by handling multiple projects, meeting deadlines, prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude
Energetic and self-motivated with a strong sense of curiosity - must be extremely organized and detail oriented with an ability to make proactive recommendations
Passion for broadening your technical skills and diving into unknown problems

Nice To Haves

Hands-on experience working in Databricks and enterprise cloud platforms, preferably GCP
Practical experience with CI/CD and MLOps best practices and tools (Git, Airflow, MLflow, Jenkins, etc.)
Experience with Apache Spark (PySpark, and Spark ML) and/or deep learning frameworks (e.g., Tensorflow, Torch, etc.)
Understanding of causal and uplift models
Prior work in retail, e-commerce, or consumer-facing technology environments

Responsibilities

Design and develop data science and machine learning models to optimize operational tactics, marketing messages, and guest experiences, while generating efficiencies across Ulta Beauty
In addition to classical statistical methods, research and implement new machine learning approaches and techniques to drive innovative solutions that solve business problems
Mine our rich, omnichannel, customer data assets across 1500+ stores, a leading e-commerce platform, and 46M+ Ultamate Rewards loyalty program members to construct analytical solutions that enable data-driven decisions
Partner with the AI Engineering and Architecture peers, contributing the Data Science perspective in cross-functional discussions
Engage with business and product stakeholders to refine requirements into a concrete, technical scope
Explain and present complex analytical approaches and model results in a concise manner to drive alignment and outcomes from business partners
Ensure data integrity and quality by leveraging proven methodologies, including data reconciliation, data integration and data audits
Continue driving a data-driven culture and contribute to the creation of enterprise AI capabilities and platforms that power Ulta Beauty’s future