Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Dealer Tire

Associate Data Scientist

Dealer Tire

. Execute assigned data science projects with defined scope, delivering accurate and timely results .

Posted 10/28/2026full-timeRemote • United StatesJuniorMid-Level💰 $80,580 - $110,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and implementing statistical and machine learning models, utilizing Python and SQL for data manipulation and analysis. Proficient in collaborating with cross-functional teams to translate data insights into actionable business strategies.

Highest-signal resume keywords
Statistical ModelingMachine LearningPython ProgrammingSQL ProficiencyData Pipeline Development

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical ModelingMachine LearningPython ProgrammingSQL ProficiencyData CleaningData TransformationExploratory Data AnalysisModel EvaluationVersion ControlPrompt Engineering
Soft Skills
Intellectual CuriosityStrong Sense of UrgencyCollaborationCommunication
Tools & Technologies
SnowflakeDbtScikit-learnPandasNumpyDockerAI Tools
Industry Keywords
Data ScienceAnalyticsData-Driven Decision-MakingBusiness AcumenRelational Data Systems

Tech Stack

Tools & technologies
DockerNumpyPandasPythonScikit-LearnSnowflakeSQL

About the role

Key responsibilities & impact
  • Execute assigned data science projects with defined scope, delivering accurate and timely results
  • Develop and implement statistical and machine learning models, including regression, classification, clustering, and forecasting
  • Apply analytical methods to defined problems, datasets, and evaluation criteria
  • Use notebooks and interactive development environments to explore data, prototype models, and validate approaches
  • Interpret model outputs and translate findings into actionable stakeholder insights
  • Use AI tools and large language models for analysis, code generation, and research
  • Apply prompt engineering techniques and assist in building AI-enabled workflows
  • Contribute to data science products, models, pipelines, and reporting
  • Support model training, evaluation, and output generation workflows
  • Document data science processes, model assumptions, and system behavior
  • Generate regular reporting and analysis for product performance monitoring
  • Clean, transform, and prepare structured and unstructured datasets
  • Write SQL and Python transformations and work with Snowflake and dbt workflows
  • Assist in developing and maintaining data pipelines
  • Perform exploratory data analysis
  • Follow version control, documentation, testing, and software development best practices
  • Write maintainable and testable code and participate in code reviews
  • Develop proficiency in Python and use R where appropriate
  • Use data science libraries and frameworks including scikit-learn, pandas, and numpy
  • Gain familiarity with Docker and deployment concepts
  • Communicate progress and findings with team members and stakeholders
  • Collaborate with Data Scientists, Analytics Engineers, and business partners
  • Build business acumen and support data-driven decision-making
  • Perform other duties as assigned

Requirements

What you’ll need
  • Bachelor’s degree in Business, Mathematics, Computer Science, Engineering, or related field
  • 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 such as scikit-learn and pandas is a plus
  • Exposure to AI tools and prompt engineering concepts is a plus
  • Ability to work in a fast-paced environment with a strong sense of urgency
  • Strong intellectual curiosity and desire to learn
  • Must pass a pre-employment drug screening
  • Travel as necessary, less than 10%

Benefits

Comp & perks
  • Paid time off
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401k match (50% on the dollar up to 7% of employee contribution)
  • Total compensation package may include commission, bonus or profit sharing
  • Equal Employment Opportunity employer
  • Disability accommodation support