Junior Associate Data Scientist

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.