Associate Data Scientist

🕒 October 6

🏄 California – Remote

🏄 California – Remote

💵 $80.6k - $110k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Dealer Tire

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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 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 to support analysis, code generation, and research • Apply prompt engineering techniques and assist in building simple AI-enabled workflows • Contribute to data science products, including 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 performance monitoring • Clean, transform, and prepare large structured and unstructured datasets • Write SQL and Python-based transformations from raw data sources • Work with Snowflake and dbt workflows to create analytics-ready datasets • Assist in developing and maintaining data pipelines • Perform exploratory data analysis • Follow software development best practices, including version control, documentation, and testing • Write clear, maintainable, and testable code • Validate datasets, model outputs, and reporting results • Participate in code reviews • Ensure reproducibility through proper documentation and work organization • Communicate progress and results with team members and stakeholders • Collaborate with Data Scientists, Analytics Engineers, and business partners • Build business acumen and develop expertise in assigned datasets, tools, and processes • Perform other duties as assigned

🎯 Requirements

• 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 an 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 before beginning work • Continuous viewing from and inputting to a computer screen • Sitting for long periods of time • Travel as necessary, less than 10%

🏖️ Benefits

• Paid time off • Medical insurance • Dental insurance • Vision insurance • 401k match (50% on the dollar up to 7% of employee contribution) • Potential commission, bonus or profit sharing • Potential sign-on bonus, subject to state and local laws, terms and conditions • Equal Employment Opportunity employer • Disability accommodations available during the application process

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