Data Scientist: AI-Driven Analytics & ML

Dealer Tire LLC; California City (CA); Presencial; USD 90 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Paid time off

Medical insurance

Dental insurance

Vision insurance

401k match

Resumo da oferta

Dealer Tire LLC in California City seeks a data scientist to perform advanced modeling and analytics, develop ML models, and support data pipelines using Python and SQL.

You will collaborate with Data Scientists and Analytics Engineers, explore data, document processes, and contribute to data products, with exposure to Snowflake, dbt, and AI tooling.

The role emphasizes reproducible research, code quality, and business-driven insights, focusing on timely, actionable analyses.

Qualificações

• Bachelor’s or advanced degree in a quantitative field; 0–2 years of data science/analytics experience
• Strong programming skills in Python; familiarity with SQL and relational data systems
• Experience with statistical modeling and ML concepts; exposure to AI tools is a plus
• Familiarity with Snowflake, dbt, and modern data platforms is advantageous
• Proficiency with data science libraries and ability to build data pipelines is expected

Responsabilidades

• Perform Advanced Modeling & Analysis on data science projects
• Develop and implement statistical and machine learning models
• Write SQL and Python data transformations for datasets
• Contribute to data science products, pipelines, and reporting
• Document data science processes, model assumptions and system behavior
• Collaborate with Data Scientists, Analytics Engineers and business partners

Conhecimentos

Python programming

SQL

Statistical thinking

Machine learning concepts

Formação académica

Bachelor’s degree in Business, Mathematics, Computer Science, Engineering, or related field

Advanced degree preferred

Ferramentas

Snowflake

dbt

Docker

Descrição da oferta de emprego

Dealer Tire LLC in California City seeks a data scientist to perform advanced modeling and analytics, develop ML models, and support data pipelines using Python and SQL.

You will collaborate with Data Scientists and Analytics Engineers, explore data, document processes, and contribute to data products, with exposure to Snowflake, dbt, and AI tooling.

The role emphasizes reproducible research, code quality, and business-driven insights, focusing on timely, actionable analyses.