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 processes 

• 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 

• 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 

Competencies Required 

• Critical Thinking 

• Agility 

• Initiative 

• Attention to Detail 

• Willingness to Learn 

Physical Job Requirements 

• Continuous viewing from and inputting to a computer screen 

• Sitting for long periods of time 

• Travel as necessary, <10% 

Drug Policy 

Dealer Tire is a drug-free environment.  All applicants being considered for employment must pass a pre-employment drug screening before beginning work.