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Sr Data Scientist

Job in Long Beach, Los Angeles County, California, 90801, USA
Listing for: Ulta Beauty
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 165984 - 166984 USD Yearly USD 165984.00 166984.00 YEAR
Job Description & How to Apply Below

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Overview

Live the

Overview

Live the experience. From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability—and is recognized that way. We’ve been defined as a “mature start-up.” A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity.

Where our passion for better solutions drives us and is core to who we are.

We’re engineering for the future of retail, and it’s no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you’ll find that virtually nothing’s impossible at Ulta Beauty.

COMPANY: Ulta Beauty Credit Services Corporation

LOCATION: 1000 Remington Blvd., Suite 120, Bolingbrook, IL 60440

TITLE: Senior Data Scientist

HOURS: Monday to Friday, 8:00 am to 5:00 pm

DUTIES: Mentor a young and dynamic team of data scientists including conducting code reviews:
Provide technical and professional guidance to more junior team members around software engineering best practices such as OoP and stakeholder interactions. Conduct code reviews for other projects, providing feedback and offering alternative approaches when needed.

Design and map out ML solutions to business problems: conduct the project planning process and map out required tasks, including time and effort estimation. Determine the best approaches and risk areas for the project.

Engage with business partners to hash out project needs: conduct the gathering of requirements and refine the use-case alongside internal stakeholders from business or IT orgs. Provide updates and troubleshooting as needed surrounding the technical aspects of the use-case.

Advise on emerging areas of technology and AI: provide advisory services as needed to other business units regarding emerging technology trends in the AI space such as GenAI, reinforcement learning, etc. Help the enterprise avoid pitfalls in the technology and provide them with formal or informal technical assessments.

Implement ML solutions to business problems:
Execute the software development for the project such that business requirements are addressed and a solution is provided.

Provide guidance on data science best practices: leverage industry best practices, conferences, external knowledge to educate the team and broader enterprise on best practices observed.

REQUIREMENTS: Master’s degree in Computer Science, Mathematics, Physics, Statistics or other quantitative field.

One (1) year in any occupation with NLP, Machine Learning, or Data Science experience.

One (1) year in any occupation with NLP, Machine Learning, or Data Science experience must include:
OoP languages including Python and coding paradigms;
Frameworks:
Scikit Learn, Tensor Flow or Pytorch, Numpy, Pandas, and Sci Py;
Cloud computing platforms such as Google Cloud, Azure or AWS;
Experience building ML solutions from existing libraries;
Recommendation systems;
Clustering problems;
Supervised-, weakly-supervised-, and un-supervised learning;
Statistical analyses of model results;
Deep Learning;
Relational databases including Postgres, Bigquery and MySQL;
Document databases including Mongo

DB; and low-latency databases including Big Table.

TELECOMMUTING EMPLOYEE: Reports to company headquarters in Bolingbrook, IL. Can work remotely or telecommute up to 100%.

SALARY: $165,984 - $166,984 per year

APPLY:  Job  

The pay range for this position is $ - $ / Year with the opportunity for eligible associates to earn additional compensation pursuant to the Company’s bonus plan. Exact pay will be based on factors including, but not limited to relevant education, qualifications, certifications, experience, level, shift, geographic location, and business and organizational needs.…

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