data engineer

business data analyst

data analyst

intern – data science

sr principal data scientist, search and recommendations Jobs in Irvine

data scientist

Skyworks Solutions, Inc.

<div>
 If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
 
 
 At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
 
 
 Requisition ID: 75764
 
 
 
 Description
 
 
 
 Skyworks Solutions is seeking a
 
 Machine Learning Engineer (MLE)
 
 to join our rapidly growing AI/ML team in Irvine, CA. This is a highly technical, hands-on role designed for individuals who thrive at the intersection of cutting-edge machine learning, signal processing, and semiconductor innovation. If you&rsquo;re looking to apply your ML expertise to high-impact, real-world engineering challenges in the analog and RF domain, this is your opportunity.
 
 
 Skyworks is an innovator of high-performance analog semiconductors enabling next-generation wireless communications. From 5G to IoT to automotive, our technologies are helping to connect the world. At Skyworks, you&rsquo;ll find a fast-paced environment with a flat organizational structure and global collaboration. We value open communication, creativity, mutual respect, and technical excellence.
 
 
 
 Responsibilities
 
 
 
 As a Machine Learning Engineer on the Data Analytics and AI Enablement team, you will lead and contribute to projects that apply advanced ML and deep learning to a variety of use cases across the company&mdash;including design automation, yield prediction, anomaly detection, signal classification, and device modeling. You will collaborate with world-class engineers across electrical, RF, product, and manufacturing domains to deliver real business impact through data and AI.
 
 
 <ul>
 <li>
 Predictive analytics for yield and quality improvement
 </li>
 <li>
 Optimization of circuit or device parameters
 </li>
 <li>
 RF signal modeling and anomaly detection
 </li>
 <li>
 Root-cause analysis across test and manufacturing data
 </li>
 <li>
 Own the end-to-end ML pipeline: data acquisition, feature engineering, model selection, training, evaluation, deployment, and monitoring.
 </li>
 <li>
 Collaborate with cross-functional stakeholders including design engineers, process experts, and product owners to understand problem statements and translate them into ML solutions.
 </li>
 <li>
 Work on both research-oriented prototypes and production-grade deployments.
 </li>
 <li>
 Stay up-to-date with current trends in ML, especially those relevant to semiconductor, signal processing, or high-dimensional time-series data.
 
 
 </li>
 </ul>
 
 Required Experience And Skills
 
 
 
 <ul>
 <li>
 BS and 8 years experience (Ph.D. preferred) in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
 </li>
 <li>
 Strong theoretical and practical experience in machine learning and deep learning, including CNNs, transformers, time-series models, or probabilistic methods.
 </li>
 <li>
 Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn.
 </li>
 <li>
 Solid understanding of statistics, optimization, and model evaluation techniques.
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to work across disciplines and teams.
 
 
 </li>
 </ul>
 
 Desired Experience And Skills
 
 
 
 <ul>
 <li>
 Exposure to semiconductor, electronics, or RF system domains (e.g., basic understanding of circuit behavior, test data, signal integrity).
 </li>
 <li>
 Experience working with large, complex datasets (e.g., sensor, waveform, or EDA simulation outputs).
 </li>
 <li>
 Familiarity with data infrastructure and workflow orchestration (e.g., Airflow, MLflow, or cloud platforms).
 </li>
 <li>
 Contributions to peer-reviewed research, patents, or open-source ML projects.
 
 
 </li>
 </ul>
 The typical base pay range for this role across the U.S. is currently USD $91,200 - $177,200 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
 
 
 Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
 
 
</div>

Data Scientist

Ingram Micro

<div>Accelerate your career. Join the organization that's driving the world's technology and shape the future.
Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage&trade; set us apart. Learn more at www.ingrammicro.com
Come join our team where you&rsquo;ll make technology happen in surprising ways. Let&rsquo;s shape tomorrow - it&rsquo;ll be a fun journey!
We are seeking an experienced Data Scientist / Senior Consultant to drive the science and strategy behind Ingram Micro&rsquo;s global Search and Recommendation systems. The role partners closely with a diverse team of scientists, engineers, product leaders, and industry experts to build large‑scale models that meaningfully improve discovery, relevance, and commercial outcomes across an enterprise ecosystem.
You will be responsible for the technical strategy, model development, experimentation, and production impact, delivering measurable improvements to the performance of search and recommendation engines worldwide. The role is hands‑on and high‑visible requiring deep technical expertise and the ability to communicate complex concepts to non‑technical audiences.
Scope
<ul><li>Own multi-quarter technical development, vision, and roadmap for search, ranking, personalization, discovery, and recommendation systems.
</li><li>Engage with a globally distributed team of Data Scientists and AI/ML Engineers
</li><li>Be accountable for model quality, experimentation rigor, and production impact
</li><li>Influence platform, tooling, and architecture decisions in partnership with science, engineering, and business leadership
</li></ul>Qualifications
<ul><li>Master&rsquo;s or Ph.D. in a quantitative field (Computer Science, Data Science, AI, Statistics, Applied Math, Engineering, Economics, or similar technical fields)
</li><li>10+ years functional experience including a minimum of 5+ years position specific experience in search, recommendation, information retrieval, or personalization at scale
</li><li>Track record of owning production search or recommendation systems with measurable business impact
</li></ul>Hands-On Technical Ownership
<ul><li>Expertise in developing and leading the deployment of enterprise level Search Algorithms and Recommendation Engines at global scale
</li><li>Develop model design for ranking, relevance, personalization, semantic retrieval
</li><li>Build applications leveraging LLMs, deep learning, transformers, generative AI, semantic search, vector databases, and RAG pipelines
</li><li>Design and interpret A/B tests and quasi‑experiments tied to business metrics
</li><li>Tools/stack experience: Python, SQL, Jupyter, R, Julia, SAS, MATLAB, etc&hellip;
</li><li>Experience with GCP (Big Query, VertexA, Gemini) strongly preferred
</li><li>Experience developing Search/Recommendation Agents is a plus
</li><li>Work with large‑scale behavioral, content, and transactional datasets to solve highly ambiguous problems
</li></ul>Organizational &amp; Technical Leadership
<ul><li>Partner with and mentor mid- and senior -level scientists
</li><li>Set bar for modeling excellence, experimentation discipline, production readiness
</li><li>Promote reusable ML platforms and standardization over one‑off solutions
</li><li>Serve as an executive-facing authority on search and recommendation science
</li></ul>Stakeholder &amp; Business Leadership
<ul><li>Translate ambiguous business problems into scalable AI and ML solutions
</li><li>Communicate technical models, engines, systems to non-technical stakeholders
</li><li>Partner with Product, Engineering, and Business to balance near-term wins vs. long-term platform bets
</li></ul>Success Metrics
<ul><li>Sustained improvements in relevance, engagement, and conversion
</li><li>High-retention, high-performing ML team with strong internal mobility
</li><li>Systems that scale globally with reliability and defensible scientific rigor
</li><li>Measurable impact to financial results and customer experience
</li></ul>#LI-RT1
The typical base pay range for this role across the U.S. is USD $158,900.00 - $270,100.00 per year.
The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidate&rsquo;s primary work location, pay grade, and variable compensation plan. Individual base pay within each range depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.
At Ingram Micro certain roles are eligible for additional rewards, including merit increases, annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance. U.S.-based employees have access to healthcare benefits, paid time off, parental leave, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.
This is not a complete listing of the job duties. It&rsquo;s a representation of the things you will be doing, and you may not perform all these duties.
Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check.
Ingram Micro Inc. is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.</div>

Sr Principal Data Scientist, Search and Recommendations

Slalom

<div>
 
 Role: Data Engineer
 
 
 
 
 Who You&rsquo;ll Work With
 
 
 
 At Slalom we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We&rsquo;re thrilled by the opportunity to build the future we want to see, with anyone willing to join us.
 
 
 Slalom's Data Engineering Discipline Is Focused On Injecting Intelligence Into Products, Engineering Systems That Support Learning And Insight And Creating Innovative Data Products. Within Data Engineering We Help Customers Build World-class Products Through Effective Use Of
 
 
 <ul>
 <li>
 Data engineering consisting of streaming / real-time data solutions, modern data platforms and data systems within products (i.e., database systems, graph databases, key-value stores, document databases and transactional systems)
 </li>
 <li>
 Enhancing Machine Learning and Artificial Intelligence capabilities
 </li>
 <li>
 You will work collaboratively with teams in a hybrid environment, with expectation to be in-person with Slalom team members and clients as needed.
 </li>
 <li>
 You also must be within commutable distance to one of the listed Slalom office locations for this role.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 Slalom Data Engineering discipline is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.
 
 
 As a Data Engineer for Slalom, you will work in collaborative teams to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.
 
 
 You will be engaged to participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog.
 
 
 
 What You&rsquo;ll Bring
 
 
 
 You will have an interest to become the best at what you do and will have many opportunities to gain hands-on experience with new data platforms and programming languages as you explore the range of technologies that we help our clients with including:
 
 
 <ul>
 <li>
 Big Data Platforms (Apache Spark, Presto, Amazon EMR)
 </li>
 <li>
 Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
 </li>
 <li>
 Object Oriented Coding (Java, Python)
 </li>
 <li>
 NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
 </li>
 <li>
 Container Management Systems (Kubernetes, Amazon ECS)
 </li>
 <li>
 Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
 </li>
 <li>
 Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
 </li>
 <li>
 Visual Analytics (Tableau, PowerBI)
 </li>
 <li>
 Modern Data Workflows (Apache Airflow, dbt, Dagster)
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
 
 
 
 Compensation And Benefits
 
 
 
 Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, &amp; vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
 
 
 Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges outlined below. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual&rsquo;s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
 
 
 <ul>
 <li>
 Los Angeles, Orange County, San Diegeo
 </li>
 <ul>
 <li>
 Consultant: $99,000 - $133,000
 </li>
 </ul>
 <li>
 Phoenix
 </li>
 <ul>
 <li>
 Consultant: $91,000 - $122,000
 
 </li>
 </ul>
 </ul>
 We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com.
 
 
 
 EEO and Accommodations
 
 
 
 
 Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans&rsquo; status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact
 
 
 accomodationrequest@slalom.com
 
 
 if you require accommodations during the interview process.
 
</div>

Data Engineer

Jiffy.com

<div>
 Jiffy.com is looking for a Data Analyst to join our innovative team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to help drive strategic decisions across our operations. Your role will include evaluating data from various sources to provide actionable insights that enhance our ecommerce platform, customer experience, and overall business performance.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Collect, clean, and organize data from different sources to prepare it for analysis
 </li>
 <li>
 Analyze datasets to identify trends, patterns, and insights that inform business strategies
 </li>
 <li>
 Create reports and dashboards to visualize key performance indicators for various teams
 </li>
 <li>
 Work collaboratively with cross-functional teams to understand their data needs and provide analytical support
 </li>
 <li>
 Develop and maintain documentation for data processes and procedures
 </li>
 <li>
 Assist in designing experiments and A/B tests to improve customer engagement and conversion rates
 </li>
 <li>
 Identify opportunities for process improvements based on insights derived from data analysis
 
 
 </li>
 </ul>
 This role follows a
 
 hybrid work model
 
 with a requirement of
 
 a minimum of three (3) days per week onsite
 
 . Employees should expect to work regularly from the office to support collaboration and business needs.
 
 
 
 Requirements
 
 
 
 
 Qualifications &amp; Skills:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, or a related field
 </li>
 <li>
 3-6+ years of experience in data analysis or a similar role, preferably in e-commerce or a related industry
 </li>
 <li>
 Proficiency in data analysis tools such as SQL, Excel, and data visualization software (e.g., Tableau, Power BI)
 </li>
 <li>
 Strong analytical skills with attention to detail and the ability to interpret and communicate complex data
 </li>
 <li>
 Good problem-solving skills and the ability to work with large datasets
 </li>
 <li>
 Strong written and verbal communication skills to present findings clearly to stakeholders
 </li>
 <li>
 Ability to work independently as well as in a team-oriented environment
 </li>
 <li>
 Familiarity with statistical analysis and data-driven decision-making
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Proficiency with advanced SQL (e.g., complex joins, window functions, query optimization)
 </li>
 <li>
 Experience with Python or R for data analysis, automation, or statistical modeling
 </li>
 <li>
 Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery)
 </li>
 <li>
 Experience building and maintaining dashboards and automated reports for business stakeholders
 </li>
 <li>
 Experience working with large-scale datasets and optimizing data workflows
 </li>
 <li>
 Understanding of key ecommerce metrics such as conversion rate, average order value (AOV), customer lifetime value (LTV), and retention
 </li>
 <li>
 Experience translating business questions into analytical frameworks and actionable insights
 
 
 </li>
 </ul>
 
 Why You Will Love Working At Jiffy
 
 
 
 <ul>
 <li>
 Opportunity to grow company market share through innovation in the rapidly evolving e-commerce, AI, and image processing space
 </li>
 <li>
 Thrive in a collaborative, high-growth environment where your ideas directly influence how Jiffy evolves as a leading e-commerce destination
 </li>
 <li>
 High visibility and influence in solving complex problems and delivering cutting edge solutions resulting in direct impact on Jiffy's seamless customer experience
 </li>
 <li>
 Access to career development opportunities in a company that invests deeply in professional growth
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 What We Offer
 
 
 
 The base compensation for this role is expected to range from
 
 $80,000 to $100,000
 
 per year. Actual compensation will be based on a variety of factors, including skills, experience, qualifications, and overall fit for the role.
 
 
 Total compensation may include base salary, performance-based bonuses, equity, and benefits. Final offers are tailored to each candidate and take into consideration their background and years of experience.
 
 
 <ul>
 <li>
 Comprehensive Benefits: Full medical, dental, and vision coverage, with a portion of premiums paid by Jiffy
 </li>
 <li>
 Retirement Planning: 401(k)
 </li>
 <li>
 Wellness Support: Annual wellness benefits to help you stay healthy and balanced
 </li>
 <li>
 Tools for Success: Choice of MacBook or PC laptop, plus equipment for your home office setup
 </li>
 <li>
 Perks &amp; Extras: Annual credit of $200 to use on our website plus more team merch drops than you will know what to do with!
 </li>
 <li>
 Professional Development: Annual stipend to support your learning and career growth
 
 
 </li>
 </ul>
 
 EEO
 
 
 
 Jiffy is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Jiffy considers qualified applicants with criminal histories, consistent with applicable federal, state and local law.
</div>

Data Analyst

EMCOR

<div>About Us:<div></div><div> 
EMCOR Mechanical Services (EMS) companies provide mechanical, automation, and energy solutions, as well as a range of other professional services. From healthcare and education to technology, transportation, retail, government, and more, EMS companies operate in a wide array of environments.</div> 
<div></div>
Job Summary:
<div>
EMCOR Mechanical Services has an opportunity for a Data Engineer in Irvine, CA. The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics, reporting, and data-driven decision-making. This role is an individual contributor with specific oversight of projects and process. This individual will interact with members of Finance, Management, IT, QA, BA teams, and various business stakeholders.</div><div></div><div> 
#EMS!</div><div>
#LI-NS1</div>
Essential Duties &amp; Responsibilities:
<ul><li>Develop and maintain ETL (Extract, Transform, Load) processes for data ingestion and transformation.</li><li>
Design and optimize data models for structured and unstructured data.</li><li>
Implement and manage data storage solutions (e.g., relational databases, data lakes).</li><li>
Ensure data quality, integrity, and security across systems.</li><li>
Collaborate with data analysts and business stakeholders to understand data requirements.</li><li>
Monitor and improve performance of data pipelines and workflows.</li><li>
Automate data processes and implement best practices for data engineering.</li></ul> 
<div></div>
Qualifications:
<ul><li>Bachelor&rsquo;s degree in Computer Sciences/Engineering, associated discipline, or equivalent technical experience.</li><li>
Minimum of 5 plus years of experience of hands-on application development or data engineering experience.</li><li>
Expertise in SQL and Python as well as strong working knowledge with various Microsoft Fabric Components including OneLake, Data Factory, Data Engineering, Data Warehousing, Data Science, Real-time Analytics, and Power BI (BI/Visualization).</li><li>
Experience in Construction or Mechanical Services industry preferred.</li><li>
Proficiency in SQL and programming languages (Python, Java, or Scala).</li><li>
Experience with ETL tools and cloud platforms (AWS, Azure, GCP).</li><li>
Knowledge of data warehousing concepts and tools.</li><li>
Familiarity with workflow orchestration tools (Airflow, Luigi).</li><li>
Strong understanding of data governance and security principles.</li></ul> 
<div></div>
Physical Demands:
<div>
Ability to work in an office environment using laptop, cell phone, and office phones.</div>
Work Environment:
<div>
This position works in a typical office environment.</div>
Equal Opportunity Employer: As a leading provider of mechanical and electrical construction, facilities services, and energy infrastructure, we offer employees a competitive salary and benefits package and we are always looking for individuals with the talent and skills required to contribute to our continued growth and success. Equal Opportunity Employer/Veterans/Disabled Notice to Prospective Employees: Notice to prospective employees: There have been fraudulent postings and emails regarding job openings. EMCOR Group and its companies list open positions here. Please check our available positions to confirm that a post or email is genuine. EMCOR Group and its companies do not reach out to individuals to help with marketing or other similar services. If an individual is contacted for services outside of EMCOR&rsquo;s normal application process &ndash; it is probably fraudulent. Geographic Disclosure:
<div>
Compensation Range: $115,000 - $145,000 annual salary</div><div>
Other Compensation: Eligible for discretionary Bonus</div><div>
Benefits: We are committed to providing employees a comprehensive benefits package which includes medical, dental, and vision coverage, along with health savings and flexible spending accounts, life insurance, disability, a 401(k) Savings Plan, College Coach and employee assistance program.</div></div>

Boot Barn

<div>INTERN

REPORTS TO: DEPT MANAGER

STATUS: NON-EXEMPT

Summary

Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up, listen intently, and implement out-of-the-box ideas. We celebrate new innovations, congratulate one another's achievements, and most importantly support each other.
At Boot Barn, we work together to make a positive impact on the world around us, and by working collectively with encouragement, we consider ourselves &ldquo;Partners.&rdquo; With the values of the West guiding us, Boot Barn celebrates heritage, welcomes all, and values each unique Partner within our Boot Barn community.

Our vision is to offer everyone a piece of the American spirit &ndash; one handshake at a time.
Boot Barn is committed to developing successful leaders and our goal is to offer an opportunity for both learning and contribution. Our six-week, paid summer internship program offers hands-on experience in a fast-paced retail environment, with the opportunity to address real-time and future business needs. Additionally, the program includes industry seminars, one-on-one mentorship, professional development and networking opportunities with senior leadership and peers.

Internship opportunities are available with the following business functions:
<ul><li>Buying &ndash; Apparel
</li><li>Buying &ndash; Accessories</li>
<li>Buying &ndash; Footwear
</li><li>Digital Marketing Designer
</li><li>Photography, Videography, &amp; Editing
</li><li>Apparel Product Development
</li><li>Apparel Technical Design
</li><li>IT Help Desk</li>
<li>HR &amp; Talent Development
</li><li>Loss Prevention
</li><li>Merchandise Apparel Planning
</li><li>Merchandise Store Planning
</li><li>Retail Vendor Compliance
</li><li>Ecommerce
</li><li>Data Scientist
</li><li>Ecommerce Optimization*
</li></ul><ul><li>based in Wichita, KS
</li></ul>Essential Duties and Responsibilities
<ul>
<li>Use discipline specific knowledge, skills, and abilities to assist with various projects, presentations, and business improvement opportunities.</li>
<li>Lead a department/function specific project from start to finish and present project deliverable(s) to senior leadership for consideration.</li>
<li>Note: Function-specific responsibilities will be outlined during the interview process.</li>
</ul>
Blurbs:
Buying &ndash; Women's Apparel: The Buying Interns will take part in buying meetings with third party vendors and Exclusive Brands, provide input on style selection, process samples and receive an introduction to reporting.

Buying &ndash; Accessories: The Buying Interns will take part in buying meetings with third party vendors and Exclusive Brands, provide input on style selection, process samples and receive an introduction to reporting.

Buying &ndash; Footwear: The Buying Interns will take part in buying meetings with third party vendors and Exclusive Brands, provide input on style selection, process samples and receive an introduction to reporting.

Digital Marketing Designer: The Marketing Digital Designer Intern will support daily digital design projects across ecommerce, email, and social media platforms. In this role, they will gain hands-on experience designing multiple digital assets while strengthening their skills in Photoshop and corporate communication.

Photography, Videography, &amp; Editing: The Photography, Videography, &amp; Editing Intern will assist with studio and on-location photo and video shoots, as well as editing content for social media and digital marketing campaigns. In this role, they will gain hands-on experience in lighting, styling, videography, photography, and post-production editing.

Apparel Product Development: The Apparel Development Intern will learn about the Exclusive Brands product development process from line freeze through production. They will collaborate directly with sourcing agents and factory manufacturing partners to identify material samples, obtain samples of newly designed products and will make sure that the merchandise meets quality standards and is on time.

Apparel Technical Design: The Technical Design Intern will learn about the technical design process from inception through production and will collaborate with the technical design team on the creation of garments that fit &amp; are constructed consistently across all brands. Additionally, they will support the organization of the department via fit schedules, prepping incoming samples &amp; participation in live fit sessions.

IT Help Desk: The IT Help Desk Intern will provide desktop and help desk support for corporate users, warehouses, and stores, including staging registers and supporting POS and back-office systems. In this role, they will gain exposure to systems, networking, and security, assist with new store setups and relocations, and support inventory management through asset tagging and system allocation.

HR &amp; Talent Development: The HR &amp; Talent Development intern will support the creation of digital training modules, developing engaging content within our learning systems and mapping learning paths using flowchart-style logic. We are seeking someone that is tech savvy, has strong attention to detail, and experience designing materials in Canva to enhance learning and engagement.

Loss Prevention: The Loss Prevention Intern will learn how to prevent, review, and analyze internal and external theft concerns pertaining to all business units. They will be involved in reviewing alarm incident reports, assisting with evidence requests, reviewing data for investigations, and partnering with leadership on larger-scale cases.

Merchandise Apparel Planning: The Merchandise Apparel Planning Intern will assist with Power BI reporting, Goldmine testing, and support additional merchandising and planning projects as needed. In this role, they will gain exposure to cross-functional collaboration, learn how to analyze and report data in Power BI, and develop an understanding of merchandise sales and inventory planning.

Merchandise Store Planning: The Merchandise Store Planning Intern will learn how to determine the productivity of a product in stores, identify possible opportunities to increase sales, learn when to partner with the Buying and Allocation team to achieve sales goals, and an introduction to a variety of in store reporting.
Retail Vendor Compliance: The Retail Vendor Compliance Intern will learn the operations side of the merchandising department. They will be involved in third party vendor meetings, buying meetings, and learn how to ensure compliance and accuracy with our inventory and pricing.
Ecommerce: The Ecommerce Intern will support site merchandising, promotion setup, collection builds, and social content while gaining hands-on experience with daily website operations. A key focus of the role is learning ecommerce conversion rate optimization, including reporting on site metrics, analyzing user experience, conducting competitor research, and building A/B tests. They will also gain exposure to backend site management, product setup, and product photography workflows.

Data Scientist: The Data Science Intern will support business analysis and performance reporting through data mining, model training, data annotation, and data validation. In this role, they will gain hands-on experience in agentic assistant development, demand forecasting, and building product segmentation and trending models.

(Wichita, KS based) Ecommerce Optimization: The Ecomm Optimization Intern will support website and mobile app optimization by using various testing methods, conversion reporting, QA validation, competitive research, and UX evaluations. In this role, they will gain hands-on experience in ecommerce analytics, Google Analytics and conversion measurement, SEO fundamentals, digital advertising, and structured problem-solving within a retail ecommerce environment.
Requirements:
Additional Responsibilities
<ul>
<li>Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management</li>
<li>Demonstrates high level of quality work, attendance and appearance</li>
<li>Adheres to all Company Policies &amp; Procedures and Safety Regulations</li>
<li>Adheres to local, state and federal laws</li>
<li>Performs any other duties that may be assigned by management</li>
<li>Understands and complies with all company rules and regulations</li>
</ul>
Qualifications
<ul><li>Currently enrolled as a student at an accredited university/college</li>
<li>1-2 years of work or volunteer experience</li>
<li>Passion for fashion and retail industry</li>
<li>Proficient computer skills, including Microsoft Office Suite (Word, PowerPoint, and Excel)</li>
<li>Strong desire for continuous learning and professional development</li>
<li>Demonstrated project management skills and ability to balance multiple assignments at once</li>
<li>Excellent written and verbal communication skills</li>
<li>Self-directed and able to work without supervision</li>
<li>Must be at least 18 years of age
</li></ul>Internship Guidelines
<ul>
<li>This is a paid ($17.00/hr) summer internship from June 15 &ndash; July 24 2026.
</li><li>Boot Barn does not offer travel or housing stipends.
</li><li>Students must be able to make a commitment of full-time employment (Monday &ndash; Friday 8:30AM-5PM)
</li><li>The program will be based out of our Irvine Store Support Center, located in Irvine, CA. Remote work will not be offered.</li>
</ul>
Boot Barn Benefits &amp; Additional Compensation Opportunities
<ul>
<li>Competitive hourly rate.</li>
<li>Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.
</li><li>Paid Time Off plan for year-round Boot Barn Partners.*</li>
<li>Medical, Dental, Vision and Life Insurance.*</li>
<li>401(k) plan with generous company matching.*</li>
<li>Opportunities for growth at every level &ndash; we are opening 50+ new stores each year.</li>
</ul>
<ul><li>For eligible Boot Barn Partners</li></ul>

PAY RANGE: $17.00/hour*
<ul><li>compensation varies based on geography, skills, experience, and tenure</li></ul> 

Physical Demands

In general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.
<ul>
<li>Standing, walking and squatting less than fifty percent of the work shift.</li>
<li>Required to lift, move and carry up to 40 pounds.</li>
<li>Ability to read, count and write to accurately complete all documentation and reports.</li>
<li>Must be able to see, hear and speak in order to communicate with partners and customers.</li>
<li>Specific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.</li>
<li>Manual dexterity required using hands to finger; handle, feel and type; reach with hands and arms.</li>
</ul>
<div>[ ] Sedentary: Limited activity, no lifting, limited walking</div>
<div>
[ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking
</div><div>[ ] Moderate: Mostly standing, walking, bending, frequent lifting</div>
<div>
[ ] Arduous: Heavy lifting, bending, crawling, climbing</div>

Work Environment

In general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.
<ul>
<li>The workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance.</li>
<li>Noise levels are considered moderate.</li>
</ul>
Boot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.
Our core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law. 

Americans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.
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