careertakescareertakes

Data Scientist

Confidential Client•Manufacturing & Industrial
Entry LevelFull-timeOn-Site$102,290
Woodburn, Indiana
5 Days Ago

The Data Scientist at Confidential Client's Woodburn, Indiana plant is responsible for managing and analyzing diverse datasets to support business decision-making and innovation in tire manufacturing. This role involves data management, advanced analytics, machine learning model development, and collaboration with cross-functional teams to drive continuous improvement and operational excellence. The position emphasizes technical expertise, problem-solving, and leadership to promote AI solutions from development to production within a manufacturing environment.

Boost your chances. Upload your resume to see your match score.

Unlock Match Rate
Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


The Opportunity

Confidential Client is hiring a Data Scientist to work on analytics and machine-learning projects at a tire manufacturing facility in Woodburn, IN. This role focuses on managing disparate datasets, building predictive models, and moving models into production to support RDI, manufacturing and commercial teams. Entry-level training and on-the-job mentoring are provided.


What You’ll Do

  • Oversee data collection, storage and interpretation across multiple business areas.
  • Clean, consolidate and aggregate datasets to prepare them for analysis.
  • Perform exploratory analysis and build predictive and statistical models.
  • Automate machine learning workflows and support model industrialization.
  • Collaborate with data engineers and platform teams to promote AI/ML models to production.
  • Produce clear analysis and reports to inform business decisions and investment strategies.
  • Present model results, performance and limitations so stakeholders can action or extend the work.
  • Work with RDI, Manufacturing, Marketing and other stakeholders to understand and prioritize data needs.

What You’ll Bring

  • Bachelor’s degree in Data Science or a directly related field (required).
  • Master’s degree in Machine Learning or Big Data Analytics (preferred).
  • Strong programming skills in Python and/or R; familiarity with Java is a plus.
  • Experience with SQL and with big-data tools such as Hadoop or Spark.
  • Experience with visualization tools such as Tableau or Power BI.
  • Solid foundation in statistics, math and machine-learning methods.
  • Practical experience building, validating and deploying predictive models.
  • Data mining and feature-engineering experience.
  • Demonstrated ability to lead projects or small teams and to influence stakeholders verbally and in writing.
  • Strong problem-solving, communication and interpersonal skills.
  • Ability to set and meet goals with minimal supervision and to work effectively in cross-functional teams.

Role details

  • Location: Woodburn, IN — on-site at a manufacturing facility.
  • Employment type: Full-time.
  • Estimated base pay: $102,291 per year (estimated).
  • Note: This position is not available for immigration sponsorship.

Why Join

  • Career growth: personalized development plans, mentorship and cross-functional opportunities.
  • Inclusive culture: a diverse, supportive environment where contributions are recognized.
  • Innovation-driven work: apply data and AI to real industrial and commercial problems.
  • Community impact: work for an employer that balances business needs with sustainable practices.

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

Negotiate a higher salary! Check the salary ranges for this job type in your area.

View My Salary Range