Associate Data Scientist

Who We AreWe’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, 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 version control, documentationandtesting standards Write clear, maintainableandtestable code for data science workflows Assist in validating datasets, model outputsandreporting 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 TechnicalDevelopment 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 ThoughtDevelopment 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 Seekfeedback and continuouslyimprovetechnical and analytical skills Collaborate effectively with other Data Scientists, Analytics Engineers and business partners Build Trust and Reputation for Data Science Deliver accurate, reliableandwell-documented analytical outputs Support team members by providing consistent, high-quality work Develop expertise in assigned datasets, toolsandprocesses 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