Associate Data Scientist
Dealer TireAbout the role
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 - $110,000As 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 underst
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