Intern: Data Science

Columbia, MO

EquipmentShare

Rent the newest construction equipment and tools, track your entire fleet and put your assets to work with EquipmentShare at one of our 240+ locations.

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Intern: Data Science

Hiring Manager(s): Danielle Quinn and Hayden Mills

EquipmentShare is searching for a student intern to join the Data Science team at our Home Office in Columbia, Mo for the 2025 spring or summer programs.

Responsibilities:

  • Apply modern advanced analytics methods (predictive modeling, Machine Learning, and optimization), as well as a solid grasp of the mathematics used for each method and strong Python coding skills to develop numerical models.
  • Demonstrate the ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees. 
  • Within defined guidelines and framework, use techniques that integrate traditional and non-traditional datasets and methods to enable analytical solutions. 
  • Apply predictive analytics, machine learning, simulation, and optimization techniques to generate internal insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. 
  • Translate complex analytical and technical concepts to non-technical employees.

About You

Our mission to change an industry is not easily achieved. That’s why we look for students who are up for the challenge to join our internship program. In turn, our interns have countless opportunities to make a tangible difference in an industry that’s long been resistant to change.

What You're Working With:

  • Currently enrolled in a graduate degree program in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related quantitative field.
  • Solid grasp of mathematics, with a strong foundation in calculus, linear algebra, probability, and statistics.
  • Proficient with applying modern data science methods (time-series modeling, machine learning, and optimization).
  • Strong Python coding skills to develop numerical models.
  • Experience with database management systems.
  • Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
  • Ability to problem solve and ask teammates for help when needed.

Why We’re a Better Place to Work

EquipmentShare interns have the opportunity to enjoy many perks while working at our Home Office, including:

  • Flexible work arrangement.
  • Competitive salary.
  • Company paid holidays.
  • Fitness Center on-site plus year round wellness challenges.
  • Company sponsored events (annual family gatherings, food truck nights and more).
  • Volunteering and local charity initiatives that help you nurture and grow the local community.
  • Opportunities for career and professional development.

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

 

 

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Tags: Computer Science Economics Linear algebra Machine Learning Mathematics Predictive modeling Python Statistics

Perks/benefits: Career development Competitive pay Flex hours Team events Wellness

Region: North America
Country: United States

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