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Storefront Jobs (NOW HIRING)

Quince

Data Scientist 2/3, Storefront

Palo Alto, CA · On-site

THE ROLE Data Scientist 2 / 3, Storefront We are seeking a highly analytical and technical Data Scientist to join our Storefront team. In this role, you will own end-to-end modeling work across high ...

Quince

Data Scientist 2/3, Storefront

Palo Alto, CA · On-site

THE ROLE Data Scientist 2 / 3, Storefront We are seeking a highly analytical and technical Data Scientist to join our Storefront team. In this role, you will own end-to-end modeling work across high ...

Quince

SDE 3 (Storefront)

Palo Alto, CA

Stay up-to-date with emerging technologies and recommend tools and frameworks that improve the storefront platform. * Mentor and guide engineers on the team while helping raise the technical bar ...

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Storefront information

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How much do storefront jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for storefront in the United States is $22.68, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $25.48 per hour, depending on experience, location, and employer.

What positions are in a store?

In a store, common positions include cashiers, sales associates, stock clerks, department managers, and assistant managers. These roles involve customer service, inventory management, sales, and store operations, often requiring teamwork and communication skills.

What are the key skills and qualifications needed to thrive as a Storefront Associate, and why are they important?

To thrive as a Storefront Associate, you need strong customer service skills, basic math abilities, and a high school diploma or equivalent. Familiarity with point-of-sale (POS) systems, inventory management software, and cash handling procedures is typically required. Excellent communication, problem-solving abilities, and a friendly attitude help you stand out in this role. These skills ensure efficient operations, positive customer experiences, and contribute to the store's overall success.

What are some common challenges faced by storefront employees, and how can they effectively manage them?

Storefront employees often encounter challenges such as managing high customer volumes, addressing diverse customer needs, and maintaining product displays. Effective communication, staying organized, and prioritizing tasks are essential for success in this fast-paced environment. Collaborating closely with team members and maintaining a positive attitude can help resolve issues quickly and ensure a smooth customer experience. Many employers provide training and support to help storefront staff build these skills and adapt to dynamic work situations.

What jobs pay 4000 a week without a degree?

For a storefront-related role, high-paying positions such as experienced sales managers or business owners can earn $4,000 or more weekly, often through commissions, bonuses, or profit sharing. These roles typically require strong sales skills, industry knowledge, and experience rather than formal degrees. Other high-earning opportunities may include specialized trades or entrepreneurial ventures in retail or service sectors.

What are storefront jobs?

Storefront jobs refer to positions that involve working at the front end of a retail store or similar business, where employees interact directly with customers. These roles typically include cashiers, sales associates, greeters, and customer service representatives. Responsibilities often involve assisting customers, handling transactions, restocking merchandise, and maintaining the appearance of the store. Storefront jobs require good communication skills and a customer-friendly attitude, as they are essential for providing a positive shopping experience.

What is a storefront worker?

A storefront worker is an employee who works at the front of a retail store, handling customer service, sales, and cashier duties. They often assist customers, organize merchandise, and maintain the store's appearance, typically working during regular business hours. Good communication skills and basic cash handling experience are common requirements for this role.

Why is Gen Z struggling to get jobs?

Gen Z faces challenges in securing jobs like storefront roles due to high competition, limited work experience, and employers' preference for candidates with specific skills or certifications. Additionally, economic factors and changing hiring practices can impact their employment opportunities.

What is the difference between Storefront vs Cashier?

AspectStorefrontCashier
Primary RoleManage customer interactions, assist with sales, and provide product informationHandle transactions, operate cash registers, and process payments
Required SkillsCustomer service, product knowledge, communicationBasic math, attention to detail, POS operation
Work EnvironmentRetail stores, shopping malls, showroomsRetail stores, supermarkets, restaurants
Common CertificationsCustomer service training, retail certificationsCash handling certification, POS training

While both Storefront and Cashier roles are integral to retail operations, Storefront positions typically involve broader customer service responsibilities and product assistance, whereas Cashiers focus primarily on transaction processing. Understanding these differences helps job seekers identify the right role based on their skills and career goals.

What cities are hiring for Storefront jobs? Cities with the most Storefront job openings:
What are the most commonly searched types of Storefront jobs? The most popular types of Storefront jobs are:
What states have the most Storefront jobs? States with the most job openings for Storefront jobs include:
Storefront jobs near you
Infographic showing various Storefront job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $47,175 per year, or $22.7 per hour.
Data Scientist 2/3, Storefront

Data Scientist 2/3, Storefront

Quince

Palo Alto, CA • On-site

Other

Posted 13 days ago

Job description

THE ROLE

Data Scientist 2 / 3, Storefront

We are seeking a highly analytical and technical Data Scientist to join our Storefront team. In this role, you will own end-to-end modeling work across high-priority surfaces - spanning Recommendations and Personalization, Search, and AI-powered Shopping Experiences - and your contributions will have direct, measurable impact on conversion, discovery, and user satisfaction at scale. You will report to our VP of Engineering and collaborate closely with engineering managers, software engineers, and product managers to move our capabilities from traditional models into near real-time, personalized, and Generative AI-driven experiences. 

Responsibilities

  • Real-Time Personalization: Go beyond static product recommendations to develop and refine machine learning models that deliver near real-time personalization across our app and site surfaces, leveraging contextual signals to customize text and details for varied buyer intents (e.g., price-sensitive vs. quality/sustainability-first buyers).  
  • In-House Search Platform: Assist in building our natural language search engine from 0 to 1, utilizing Large Language Models (LLMs like Claude and GPT) for query understanding, semantic search, and advanced language retrieval.  
  • App Engagement: Design and implement algorithms for interactive app experiences to drive daily customer engagement.  
  • End-to-End Pipeline Ownership: Create new relevance ranking features, build automated end-to-end modeling pipelines in Python and SQL, deploy ML models into production, and run rigorous live experiments.  
  • Data Infrastructure & Tooling: Identify data gaps, write clear data product specifications, and partner with Engineering to establish robust real-time tracking and performance monitoring frameworks.  
  • Cross-Functional Partnership: Act as a technical partner to product and business squads, translating business targets into actionable data science solutions and presenting complex analytical outcomes to leadership. 

Qualifications

Required:

  • 5+ years of industry experience as a data scientist, with a strong preference for consumer-facing products or e-commerce applications operating at high scale.  
  • MS or PhD in statistics, mathematics, engineering, computer science, or a highly quantitative field. 
  • Exceptional proficiency in Python and SQL, alongside deep production knowledge of standard data science and machine learning libraries.  
  • Hands-on experience developing and deploying production-grade Recommender Systems, Relevance Ranking, or Personalization pipelines.
  • Proven experience working with Generative AI or LLM application workflows for tasks like text parsing or context-driven query understanding. 
  • Strong model productionalization skills with a customer-first mindset, allowing you to elegantly balance statistical accuracy against latency and engineering constraints in real-time environments.

Preferred:

  • Experience replacing or augmenting traditional NLP systems with LLMs for complex text parsing and language understanding.  
  • Familiarity with Business Intelligence tools (e.g., Looker, Tableau) to build internal dashboards for model tracking and metrics visibility.  
  • Experience building data product specifications alongside distributed engineering teams to streamline model evaluation

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