Associate Data Scientist

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…