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Senior Data Scientist

Job in Irvine, Orange County, California, 92713, USA
Listing for: Boot Barn
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

The Senior Data Scientist will play a critical role in building the foundation of Boot Barn’s AI and Data Science division, with a focus on developing advanced machine learning and generative AI solutions. This position will lead the design and deployment of models that power data driven solutions to support cross-departmental products, and intelligent agentic systems.

Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices across the organization.

Essential Duties and Responsibilities
  • Design, build, and deploy predictive and generative AI models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.
  • Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
  • Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, Tensor Flow.
  • Collaborate with AI/ML Engineers to product ionize models through containerization, orchestration, and CI/CD pipelines.
  • Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
  • Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
  • Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact AI opportunities.
  • Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
  • Translate complex model results into clear business insights for technical and non-technical audiences.
  • Demonstrates high level of quality work, attendance and appearance.
  • Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.
  • Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices.
  • Performs any other duties that may be assigned by management.
Qualifications
  • Bachelor's or Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 3-5+ years of hands-on data science experience; proven track record in developing and deploying ML and generative AI models.
  • Strong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, Tensor Flow)
  • Experience with LLMs, vector databases, and RAG pipelines
  • Familiarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools.
  • Strong collaboration skills, with experience working closely with engineering and product teams.
  • Retail and/or e-commerce experience preferred.
  • Ensure Effective Communication
    - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally.
  • Establish Trust
    - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information.
Boot Barn Benefits & Additional Compensation Opportunities
  • Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.
  • Paid Time Off plan for year-round Boot Barn Partners.
  • Medical, Dental, Vision and Life Insurance.
  • 401(k) plan with generous company matching.
  • Flexible schedules and work/life balance.
  • Opportunities for growth at every level – we are opening 50+ new stores each year.

PAY RANGE: $ - $/yr

* compensation varies based on geography, skills, experience, and tenure

Physical Demands
  • Standing, walking and squatting less than fifty percent of the work shift.
  • Required to lift, move and carry up to 40 pounds.
  • Ability to read, count and write to accurately complete all documentation and reports.
  • Must be able to see, hear and speak in order to communicate with partners and customers.
  • Specific vision abilities include close vision,…
Position Requirements
10+ Years work experience
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