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Intern Topological Data Analysis Jobs in Spring, TX

Anglin Consulting LLC

Be Seen First

Board Certified Behavior Analyst (BCBA) Intern

Houston, TX · On-site

$41K - $58K/yr

BCBA Intern Job Responsibilities: Under the supervision of a BCBA, the BCBA intern will: * Assist ... Oversee assessments, plan development, treatment integrity and ongoing data analysis * Attend ...

United Imaging North America

HR Intern

Houston, TX · On-site

$14.25 - $19/hr

The intern works under direct supervision on discrete deliverables with a defined start and end ... Prior internship or coursework involving data analysis, survey design, or process documentation

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All JobsIntern Topological Data Analysis JobsIntern Topological Data Analysis Jobs in Spring, TX

Intern Topological Data Analysis information

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

As of Aug 21, 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:

Intern Topological Data Analysis jobs near you

Supply Chain PM Intern (Capstone)

Foxconn Industrial Internet

Houston, TX • On-site

$17.25 - $23.25/hr

Internship

Posted 10 days ago

Job description

Foxconn Industrial Internet is seeking a driven and analytically sharp Supply Chain PM Intern for a semester-long capstone engagement with our SCPM team in Houston, TX. This is not a shadow role - the intern will take ownership of a structured, end-to-end project with real operational impact. Working directly with the planning team, the intern will analyze the commit process for FII's Air-Cooled (AC) product line, identify the root causes of commit misses, design a pre-commit gating framework, and build a simulation model to improve commit accuracy and reliability. The findings and tools developed through this project will be adopted by the Supply Chain planning team and presented to Supply Chain leadership at the program's conclusion.
DUTIES AND RESPONSIBILITIES
  • Document and map the current end-to-end commit process for the AC product line, covering MPS loading, MRP output review, constraint gating, and customer-facing commit steps.
  • Establish baseline commit accuracy metrics by analyzing historical commit vs. actual shipment data to quantify the current gap and identify patterns.
  • Conduct a root cause analysis of commit misses, categorizing failures by constraint type capacity (machine, labor, line), component availability, or planning gaps, and building a Pareto of the top drivers.
  • Design a structured pre-commit gating analysis framework and checklist that evaluates both capacity and component constraints before any customer-facing commitment is made.
  • Build a commit simulation model (Excel-based or equivalent tool of choice) capable of running clear-to-build (CTB) scenario testing against AC product line commits.
  • Validate the simulation model against historical data and run at least two scenario types to confirm accuracy and reliability.
  • Pilot the gating framework and simulation model against live AC product line data and measure before-and-after commit accuracy to demonstrate improvement.
  • Deliver a final recommendations report and implementation roadmap outlining projected improvements in accuracy, planning effectiveness, and operational responsiveness.
  • Present findings, the simulation model, and recommendations to Supply Chain leadership at the end of the program, including a knowledge transfer and handoff to the SCPM team.

REQUIRED SKILLS & TECHNICAL PROFICIENCIES
  • Strong Microsoft Excel skills, including simulation modeling, scenario analysis, data analysis, and pivot tables.
  • Familiarity with supply chain planning concepts: MPS (Master Production Schedule), MRP (Material Requirements Planning), capacity planning, and gating analysis.
  • Experience with process mapping tools such as Visio, Lucidchart, or PowerPoint for current-state and future-state documentation.
  • Data analysis and root cause analysis skills using any tool of choice.
  • SAP familiarity for MPS loading and MRP processing is a plus.
  • Strong PowerPoint and presentation skills for executive-level summary and recommendations delivery.
  • Ability to translate data findings into clear, actionable insights for both technical and non-technical audiences.

QUALIFICATIONS
  • Currently enrolled in or recently graduated from an accredited college or university.
  • Pursuing or recently completed a Bachelor's or Master's degree in Supply Chain Management, Industrial Engineering, Operations Management, Business Administration, or a related field.
  • Completion of relevant coursework in production planning, operations research, or quantitative methods is a strong plus.
  • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook, etc.)
  • Responds to change as a positive challenge
  • Comfortable working in a dynamic, fast-paced environment requiring adaptability and the ability to manage multiple priorities.
  • Structured thinker with the ability to break down complex operational problems into clear, manageable workstreams.

WORK SCHEDULE & COMPENSATION
  • Expected commitment of approximately 8-16 hours per week, with flexibility around academic schedules.
  • Flexible scheduling available to accommodate academic commitments.
  • Compensation commensurate with experience and qualifications.

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