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Intern Topological Data Analysis Jobs in Spring, TX

... Intern to join our team. The ideal candidate will play a crucial role in managing and analyzing ... Data Analysis & Reporting * Support basic data analysis to surface insights that support program ...

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Intern Topological Data Analysis information

See Spring, TX salary details

$10

$20

$37

How much do intern topological data analysis jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for intern topological data analysis in Spring, TX is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.83 per hour, depending on experience, location, and employer.

What is an intern in topological data analysis?

An Intern in Topological Data Analysis is a student or recent graduate who assists in research and projects involving the application of topological methods to analyze complex data sets. They typically work under the guidance of experienced data scientists or mathematicians, learning how to use tools like persistent homology to extract meaningful patterns from data. Their tasks may include coding, data preprocessing, running experiments, and helping interpret the results. The internship provides hands-on experience at the intersection of mathematics, computer science, and data analysis.

What do interns in topological data analysis do?

As an Intern in Topological Data Analysis, you can expect to support research and application of topological methods to real-world datasets across fields like biology, computer vision, or finance. Typical responsibilities include cleaning and preprocessing data, implementing algorithms such as persistent homology, visualizing results, and collaborating with team members to interpret findings. You may also contribute to academic papers, present findings in meetings, and help develop tools or software to streamline topological analyses. Interns often work closely with experienced researchers or data scientists, gaining practical exposure to both theoretical concepts and their practical applications.

What skills and qualifications are needed to thrive as an intern in topological data analysis?

To thrive as an Intern in Topological Data Analysis, you need a solid background in mathematics—especially topology and algebra—and programming skills, typically supported by coursework or a degree in mathematics, computer science, or a related field. Familiarity with technical tools such as Python, R, and specialized libraries like GUDHI or scikit-tda is often expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with interdisciplinary teams. These skills are crucial for solving complex data problems and contributing valuable insights to research or applied projects.

What is the difference between Intern Topological Data Analysis vs Data Analyst Intern?

AspectIntern Topological Data AnalysisData Analyst Intern
Required skillsMathematics, topology, data analysis, programmingStatistics, data visualization, Excel, SQL
Work environmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry usageData science, machine learning, research projectsBusiness insights, reporting, data management

Intern Topological Data Analysis focuses on advanced mathematical techniques like topology to analyze complex data structures, often in research or specialized tech environments. In contrast, Data Analyst Interns typically work with statistical tools and visualization to interpret business data. Both roles require analytical skills, but the focus and tools differ significantly, reflecting their distinct industry applications.

What job categories do people searching Intern Topological Data Analysis jobs in Spring, TX look for?

The top searched job categories for Intern Topological Data Analysis jobs in Spring, TX are:

What cities near Spring, TX are hiring for Intern Topological Data Analysis jobs?

Cities near Spring, TX with the most Intern Topological Data Analysis job openings:

Full-time

Posted 8 days ago


Job description

Line of Business: Service & Support

About Us
Heidelberg Materials is one of the world's largest suppliers of building materials. Heidelberg Materials North America operates over 450 locations across the U.S. and Canada with approximately 9,000 employees.

An internship with Heidelberg Materials is a unique experience. You’ll receive hands-on training and mentorship from some of the most talented professionals in the industry, while making meaningful contributions throughout your time with us. Interns also have opportunities to engage with senior leadership, participate in community initiatives, and build lasting connections with peers both inside and outside the workplace.

What You'll Be Doing

  • Assist with data collection, cleansing and validation to improve quality of master and transactional data
  • Investigate data-related issues and assist in root cause analysis and corrective actions
  • Work with Microsoft Copilot & Precisely to automate processes
  • Support data governance initiatives by following established standards, policies, and procedures
  • Gain hands-on experience working within JDE & SAP systems
  • Collaborate with multiple departments across the organization to streamline data workflows
  • Help document data processes and contribute to daily quality improvement initiatives

What Are We Looking For

  • Student going into junior or senior year, currently pursuing a Bachelor’s degree in data analytics, data management, computer science, IT or a related field
  • Strong attention to detail and commitment to data quality
  • Familiarity with Excel and interest in learning SAP
  • Innovative mindset with a drive to improve processes
  • Eager to learn, adapt, and contribute in a collaborative environment

Equal Opportunity Employer - Minority / Female / Veteran / Disabled

#Intern