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Associate Data Scientist

Role overview

Qualifications

  • 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
  • Basic understanding of statistical modeling and machine learning concepts

Responsibilities

  • Perform Advanced Modeling Analysis and execute assigned data science projects
  • Utilize AI tools and large language models (LLMs) to support analysis and code generation
  • Clean, transform and prepare large structured and unstructured datasets for analysis
  • Develop proficiency in Python as the primary programming language

Key facts

Hard skills

Other skills

  • Critical Thinking
  • Detail Oriented
  • Willingness To Learn

About the company

Dealer Tire logo

Dealer Tire

Wholesale Distribution

We help auto manufacturers and dealers grow their tire and light maintenance business. Period.We work to know the tire customer inside and out. We translate this knowledge into actionable intelligence for franchised automobile dealers, ultimately identifying opportunities that will help increase sales and customer satisfaction.We do this by working with our partners on every aspect of their business — from channel analysis and strategy to delivery and support to training and sales. Then we take a quick lunch and do it again.

Company details

Company typeLarge
IndustryWholesale Distribution
Company size1001 - 5000

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Job description

Who We Are

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. We’re a thriving company, and we’re looking for driven individuals to join our team. That’s where you come in!

Base Pay Range:

$80,580 - $110,000

As an Associate Data Scientist, your essential job functions will include the following: 

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 

  • Apply appropriate analytical methods based on provided problem definitions, datasets and evaluation criteria 

  • Utilize interactive development environments (e.g., notebooks) to explore data, prototype models and validate approaches 

  • Interpret model outputs and assist in translating findings into actionable insights for stakeholders 

  • 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 

  • Communicate progress and results to team members and stakeholders as needed 

Manage Large Datasets – Cleaning, Transforming, Understanding 

  • 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 

  • Work with Snowflake and dbt workflows to support development of analytics-ready datasets 

  • 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 

  • Assist in validating datasets, model outputs and reporting results for accuracy and consistency 

  • Participate in code reviews, focusing on syntax correctness and general structure 

  • Ensure reproducibility of analyses through proper documentation and organization of work 

Technology and Technical Development 

  • 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., scikit-learn, pandas, numpy) 

  • Begin developing modular code practices and reusable functions 

  • Gain familiarity with containerization (e.g., Docker) and deployment concepts 

  • Use AI-assisted tools to improve development speed and code quality 

Thought Development and Collaboration 

  • Build foundational business acumen by understanding how data science outputs support business decision-making 

  • Communicate findings and progress clearly with team members and stakeholders 

  • Seek feedback and continuously improve technical and analytical skills 

  • 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 

  • Develop expertise in assigned datasets, tools and processes 

  • Build strong working relationships within the Data Science team and with cross-functional partners 

Other Duties as Assigned 

Position Requirements 

  • 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 

  • Ability to work in a fast-paced environment with a strong sense of urgency 

  • Strong intellectual curiosity and desire to learn 

Technical Skills 

  • 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 (e.g., scikit-learn, pandas) is a plus 

  • Exposure to AI tools and prompt engineering concepts is a plus 

Competencies Required 

  • Critical Thinking 

  • Agility 

  • Initiative 

  • Attention to Detail 

  • Willingness to Learn 

Physical Job Requirements 

  • Continuous viewing from and inputting to a computer screen 

  • Sitting for long periods of time 

  • Travel as necessary, <10% 

Drug Policy 

Dealer Tire is a drug-free environment.  All applicants being considered for employment must pass a pre-employment drug screening before beginning work. 

This position is targeted to be closed on:

2026-09-19

Why Dealer Tire: An amazing opportunity to join a growing organization, built on the efforts of hard working, innovative, and team-oriented people. The compensation offered for this position will depend on qualifications, experience, and geographic location. The total compensation package may also include commission, bonus or profit sharing. 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). For more information on our benefit offerings, please visit our Dealer Tire Family of Companies Benefits Highlights Booklet.

EOE Statement: 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. 

*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. Please feel free to contact us at 1-800-933-2537 x6550.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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