Data Scientist
Associate Data Scientist responsible for advanced modeling, statistical analysis, and end-to-end data science projects using Python, SQL, and machine learning techniques to drive insights for a global tire distributor.
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:
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, clusteringandforecasting techniques
Apply appropriate analytical methods based on provided problem definitions, datasetsandevaluation criteria
Utilize interactive development environments (e.g., notebooks) to explore data, prototype modelsandvalidate approaches
Interpret model outputs and assist in translating findings into actionable insights for stakeholders
Leverage AI-assisted development tools to accelerate analysis, researchandcode development
Perform AI Engineering
Utilize AI tools and large language models (LLMs) to support analysis, code generationandresearch tasks
Apply basic prompt engineering techniques to improveoutputsfrom 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 toData Science Products
Contribute to the development and maintenance of data science products, including models, pipelines,reporting
Support implementation of model training, evaluationandoutput generation workflows
Assist in documenting data science processes, model assumptionsandsystem 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, transformandprepare 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, distributionsandpotential issues
Data Science Quality and Governance
Follow established software development best practices, including versio
Posted June 23, 2026