Jobs at CHEMISTRY.

Sell tires inside a premium automotive dealership by engaging service-drive customers, conducting visual inspections, identifying needs, recommending solutions, providing pricing, and closing sales. Build customer and dealership relationships while supporting inventory and reporting operations. Complete paid training and work a consistent 40-hour schedule. Success requires meeting sales targets, communicating effectively, managing high-volume interactions, and using basic order systems and CRM tools.

Sell tires inside a premium automotive dealership by engaging service-drive customers, conducting visual inspections, identifying needs, recommending solutions, providing pricing, closing sales, and building customer and dealership relationships. The role also supports inventory and reporting operations. Dealer Tire provides paid training, a consistent 40-hour schedule, base pay, commission, benefits, and career growth opportunities.

Sell tires inside a premium automotive dealership by engaging service-drive customers, conducting visual inspections, identifying needs, recommending solutions, providing pricing, closing sales, and building dealership relationships. The role also supports inventory and reporting operations. Candidates need at least two years of customer-facing sales experience, strong sales-target performance, communication skills, and basic computer proficiency.

Sell tires inside a premium automotive dealership by engaging service-drive customers, conducting visual inspections, identifying needs, recommending products, providing pricing, closing sales, and building dealership relationships. Support inventory and reporting operations while meeting sales targets in a fast-paced environment. The role includes paid training, a consistent 40-hour schedule, and commission opportunities.

Performs data science projects involving statistical modeling, machine learning, forecasting, data cleaning, exploratory analysis, and AI-assisted workflows. Builds and maintains models, pipelines, reporting, and analytics-ready datasets using Python, SQL, Snowflake, and dbt. Supports validation, documentation, testing, governance, and stakeholder communication while developing proficiency in modern data science tools and deployment practices.