
1001 - 5000 employees
🏭 Manufacturing
🚘 Automotive
🛒 Retail
💰 $157.9M Private Equity Round on 2009-09
Manufacturing • Automotive • Retail
Dealer Tire is a company transforming the way people buy tires and care for their vehicles, originating from the retail tire industry. Their focus is on aiding automotive manufacturers and dealers to expand their businesses through innovative tools and services designed to boost customer satisfaction and retention. Dealer Tire offers solutions such as the Product Screen Tool, which helps dealers maintain optimal inventory and pricing, and Online Tire Stores, which assist in generating sales leads and facilitating appointment scheduling. The company is deeply committed to continuous innovation for the benefit of their partners and consumer safety on the road.
🔥 1 minute ago
🇺🇸 United States – Remote
💵 $80.6k - $110k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📊 Data Scientist
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on Dealer Tire's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago
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1001 - 5000 employees
🏭 Manufacturing
🚘 Automotive
🛒 Retail
💰 $157.9M Private Equity Round on 2009-09
Manufacturing • Automotive • Retail
Dealer Tire is a company transforming the way people buy tires and care for their vehicles, originating from the retail tire industry. Their focus is on aiding automotive manufacturers and dealers to expand their businesses through innovative tools and services designed to boost customer satisfaction and retention. Dealer Tire offers solutions such as the Product Screen Tool, which helps dealers maintain optimal inventory and pricing, and Online Tire Stores, which assist in generating sales leads and facilitating appointment scheduling. The company is deeply committed to continuous innovation for the benefit of their partners and consumer safety on the road.
• Execute assigned data science projects with defined scope, delivering accurate and timely results • Develop and implement statistical and machine learning models, including regression, classification, clustering, and forecasting • Apply analytical methods to defined problems, datasets, and evaluation criteria • Use notebooks and interactive development environments to explore data, prototype models, and validate approaches • Interpret model outputs and translate findings into actionable stakeholder insights • Use AI tools and large language models for analysis, code generation, and research • Apply prompt engineering techniques and assist in building AI-enabled workflows • Contribute to data science products, models, pipelines, and reporting • Support model training, evaluation, and output generation workflows • Document data science processes, model assumptions, and system behavior • Generate regular reporting and analysis for product performance monitoring • Clean, transform, and prepare structured and unstructured datasets • Write SQL and Python transformations and work with Snowflake and dbt workflows • Assist in developing and maintaining data pipelines • Perform exploratory data analysis • Follow version control, documentation, testing, and software development best practices • Write maintainable and testable code and participate in code reviews • Develop proficiency in Python and use R where appropriate • Use data science libraries and frameworks including scikit-learn, pandas, and numpy • Gain familiarity with Docker and deployment concepts • Communicate progress and findings with team members and stakeholders • Collaborate with Data Scientists, Analytics Engineers, and business partners • Build business acumen and support data-driven decision-making • Perform other duties as assigned
• Bachelor’s degree in Business, Mathematics, Computer Science, Engineering, or related field • 0–2 years of experience in data science, analytics, or related roles OR advanced degree • Strong foundational programming skills in Python; familiarity with R is a plus • Basic understanding of statistical modeling and machine learning concepts • Proficiency in SQL and experience working with relational data systems • Familiarity with Snowflake, dbt, or modern data platforms is a plus • Exposure to version control practices (Git) and development workflows • Familiarity with data science libraries such as scikit-learn and pandas is a plus • Exposure to AI tools and prompt engineering concepts is a plus • Ability to work in a fast-paced environment with a strong sense of urgency • Strong intellectual curiosity and desire to learn • Must pass a pre-employment drug screening • Travel as necessary, less than 10%
• Paid time off • Medical insurance • Dental insurance • Vision insurance • 401k match (50% on the dollar up to 7% of employee contribution) • Total compensation package may include commission, bonus or profit sharing • Equal Employment Opportunity employer • Disability accommodation support
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