Associate Data Scientist

🔥 1 minute ago

🏈 Ohio – Remote

🏈 Ohio – Remote

💵 $80.6k - $110k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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Dealer Tire

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🛒 Retail

🤝 B2B

💰 $157.9M Private Equity Round on 2009-09

Automotive • Retail • B2B

Dealer Tire is a company transforming the way people buy tires and care for their vehicles, originating from the retail tire industry. Their focus is on aiding automotive manufacturers and dealers to expand their businesses through innovative tools and services designed to boost customer satisfaction and retention. Dealer Tire offers solutions such as the Product Screen Tool, which helps dealers maintain optimal inventory and pricing, and Online Tire Stores, which assist in generating sales leads and facilitating appointment scheduling. The company is deeply committed to continuous innovation for the benefit of their partners and consumer safety on the road.

📋 Description

• 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 • 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 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 • 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 • 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 • 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 • 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 • 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

🎯 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 • 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

🏖️ Benefits

• paid time off • medical • dental • vision • 401k match (50% on the dollar up to 7% of employee contribution)