Data Scientist Associate Part time

Dealer Tire LLC; California City (CA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Paid time off

Medical insurance

Dental insurance

Vision insurance

401k match

Job summary

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.

Qualifications

• 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

Responsibilities

• 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

Skills

Python programming

SQL

Statistical thinking

Machine learning concepts

Education

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

Advanced degree preferred

Tools

Snowflake

dbt

Docker

Job description

Company Overview

We’re Dealer Tire, a family-owned, international distributor of tires and parts established in 1918 in Cleveland, OH. We’re laser focused on helping the world’s largest and most trusted auto manufacturers grow their tire business—in fact, we’ve sold more than 60 million tires to date.

Responsibilities

• Perform Advanced Modeling & Analysis
• Execute assigned data science projects with defined scope, delivering accurate and timely results
• Develop and implement statistical and machine learning models under guidance, including regression, classification, clustering and forecasting techniques
• notebooks) to explore data, prototype models and validate approaches
• Leverage AI-assisted development tools to accelerate analysis, research and code development
• Perform AI Engineering
• Utilize AI tools and large language models (LLMs) to support analysis, code generation and research tasks
• Apply basic prompt engineering techniques to improve outputs from AI-assisted workflows
• Assist in building simple AI-enabled workflows or components under guidance
• Develop familiarity with emerging AI techniques and their application within data science workflows
• Contribute to Data Science Products
• Contribute to the development and maintenance of data science products, including models, pipelines, reporting
• Support implementation of model training, evaluation and output generation workflows
• Assist in documenting data science processes, model assumptions and system behavior
• Generate regular reporting and analysis to support performance monitoring of data science products
• Clean, transform and prepare large structured and unstructured datasets for analysis and modeling
• Write SQL and Python-based transformations to create usable datasets from raw data sources
• Assist in developing and maintaining data pipelines used in modeling workflows
• Perform exploratory data analysis to understand data characteristics, distributions and potential issues
• Data Science Quality and Governance
• Follow established software development best practices, including version control, documentation and testing standards
• Write clear, maintainable and testable code for data science workflows
• Participate in code reviews, focusing on syntax correctness and general structure
• Ensure reproducibility of analyses through proper documentation and organization of work
• Develop proficiency in Python as the primary programming language and use R where appropriate for statistical analysis
• Utilize standard data science libraries and frameworks (e.g., Docker) and deployment concepts
• Use AI-assisted tools to improve development speed and code quality
• Build foundational business acumen by understanding how data science outputs support business decision‑making
• Collaborate effectively with other Data Scientists, Analytics Engineers and business partners
• Build Trust and Reputation for Data Science
• Deliver accurate, reliable and well‑documented analytical outputs
• Support team members by providing consistent, high‑quality work
• Build strong working relationships within the Data Science team and with cross‑functional partners

Qualifications

• Bachelor’s degree in Business, Mathematics, Computer Science, Engineering, or related field
• Advanced degree in a quantitative field preferred
• 0–2 years of experience in data science, analytics, or related roles -OR- advanced degree
• Strong foundational programming skills in Python; 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
• Familiarity with data science libraries (e.g., Exposure to AI tools and prompt engineering concepts is a plus
• Continuous viewing from and inputting to a computer screen
• Travel as necessary,
• Drug Policy

Compensation

The total compensation package may also include commission, bonus or profit sharing. Sign on bonus is subject to state and local laws, terms and conditions, including employment status and length‑of‑service requirements.

Benefits

We offer a competitive & comprehensive benefit package including: paid time off, medical, dental, vision, and 401k match (50% on the dollar up to 7% of employee contribution).

Equal Employment Opportunity

Dealer Tire is an Equal Employment Opportunity (EEO) employer and does not discriminate on the basis of race, color, national origin, religion, gender, age, veteran status, political affiliation, sexual orientation, marital status or disability (in compliance with the Americans with Disabilities Act*), or any other legally protected status, with respect to employment opportunities.

Disability Accommodation

*ADA Disclosure: Any candidate who feels that they may need an accommodation to complete this application, or any portions of same, based on the impact of a disability should contact Dealer Tire’s Human Resources Department to discuss your specific needs.