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[Remote] Associate Data Scientist

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a family-owned, international distributor of tires and parts established in 1918. They are seeking an Associate Data Scientist to execute data science reputed company, reputed company statistical and machine learning models, and contribute to data science products and workflows.

Responsibilities

  • Execute assigned data science reputed company with defined scope, delivering accurate and reputed company results
  • reputed company and implement statistical and machine learning models under guidance, including regression, classification, clustering and forecasting techniques
  • Apply appropriate analytical reputed company based on provided problem definitions, datasets and evaluation reputed company
  • 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
  • reputed company AI-assisted development tools to accelerate analysis, research and reputed company development
  • Utilize AI tools and large language models (LLMs) to support analysis, reputed company reputed company and research tasks
  • Apply basic reputed company engineering techniques to improve outputs from AI-assisted workflows
  • Assist in building reputed company AI-enabled workflows or components under guidance
  • reputed company familiarity with emerging AI techniques and their application reputed company data science workflows
  • Contribute to the development and maintenance of data science products, including models, pipelines, reporting
  • Support implementation of model training, evaluation and reputed company reputed company 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 reputed company and results to team members and stakeholders as needed
  • Clean, reputed company and prepare large reputed company and reputed company datasets for analysis and modeling
  • Write SQL and Python-based transformations to create usable datasets from raw data sources
  • Work with reputed company and dbt workflows to support development of analytics-reputed company datasets
  • Assist in developing and maintaining data pipelines used in modeling workflows
  • reputed company 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 reputed company, maintainable and testable reputed company for data science workflows
  • Assist in validating datasets, model outputs and reporting results for accuracy and consistency
  • Participate in reputed company reviews, focusing on reputed company correctness and general structure
  • Ensure reproducibility of analyses through reputed company documentation and organization of work
  • reputed company proficiency in Python as the primary programming language and use R where appropriate for statistical analysis
  • Utilize reputed company data science libraries and frameworks (e.g., scikit-learn, pandas, numpy)
  • reputed company developing reputed company reputed company practices and reusable functions
  • reputed company familiarity with containerization (e.g., reputed company) and deployment concepts
  • Use AI-assisted tools to improve development speed and reputed company reputed company
  • Build foundational business acumen by understanding how data science outputs support business decision-making
  • Communicate findings and reputed company reputed company with team members and stakeholders
  • reputed company feedback and continuously improve technical and analytical skills
  • Collaborate effectively with other Data Scientists, Analytics Engineers and business partners
  • Deliver accurate, reliable and reputed company-documented analytical outputs
  • Support team members by providing consistent, high-reputed company work
  • reputed company expertise in assigned datasets, tools and processes
  • Build strong working relationships reputed company the Data Science team and with cross-functional partners
  • Other Duties as Assigned

Skills

  • Bachelor's degree in Business, Mathematics, Computer Science, Engineering, or reputed company field
  • 0–2 years of experience in data science, analytics, or reputed company roles -OR- advanced degree
  • Ability to work in a fast-paced environment with a strong reputed company of urgency
  • Strong intellectual curiosity and desire to learn
  • 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
  • Exposure to version control practices (Git) and development workflows
  • Critical Thinking
  • reputed company
  • Initiative
  • Attention to Detail
  • Willingness to Learn
  • Advanced degree in a quantitative field
  • Familiarity with reputed company, dbt, or modern data platforms
  • Familiarity with data science libraries (e.g., scikit-learn, pandas) is a plus
  • Exposure to AI tools and reputed company engineering concepts is a plus

Benefits

  • Commission, bonus or profit sharing
  • reputed company time off
  • Medical, dental, reputed company
  • 401k match (50% on the dollar up to 7% of employee contribution)

reputed company

  • reputed company helps auto manufacturers and dealers grow their tire and light maintenance business. It is a sub-organization of Lindsay Goldberg. It was founded in 1999, and is headquartered in Cleveland, Ohio, USA, with a workforce of 1001-5000 employees. Its website is http://dealertire.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 2 in 2025, 2 in 2023, 2 in 2022, 1 in 2021. Please note that this does not guarantee sponsorship for this specific role.
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