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Topological Data Analysis Jobs in Texas (NOW HIRING)

Compile and analyze operational, test, and research data to establish technical specifications for ... Professional experience with thermal and mechanical FEA, and topological optimization. Ansys or ...

Compile and analyze operational, test, and research data to establish technical specifications for ... Professional experience with thermal and mechanical FEA, and topological optimization. Ansys or ...

Topological Data Analysis information

See Texas salary details

$31.7K

$77K

$126.7K

How much do topological data analysis jobs pay per year?

As of Aug 9, 2026, the average yearly pay for topological data analysis in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in topological data analysis, and why are they important?

To thrive in Topological Data Analysis, you need a strong background in mathematics (especially algebraic topology), statistical analysis, and data science, often supported by an advanced degree in math, computer science, or a related field. Proficiency with programming languages like Python or R, and familiarity with topological data analysis (TDA) tools such as GUDHI or Ripser, are highly valuable. Critical thinking, curiosity, and effective communication help you translate complex topological findings into actionable insights for interdisciplinary teams. These skills ensure accurate interpretation of complex data shapes and facilitate meaningful contributions to projects in fields like bioinformatics, finance, or machine learning.

What is a topological data analysis?

A Topological Data Analysis (TDA) job involves applying concepts from topology, a branch of mathematics, to analyze and extract insights from complex data. Professionals in this field use techniques like persistent homology and mapper algorithms to uncover hidden structures in high-dimensional datasets. They often work in industries such as bioinformatics, finance, and machine learning, helping to interpret data patterns that traditional methods might miss. TDA specialists typically have expertise in mathematics, data science, and programming, using tools like Python, R, and specialized libraries such as Gudhi or Ripser.

How does topological data analysis typically collaborate with other departments or teams within an organization?

Professionals working in Topological Data Analysis often collaborate closely with data scientists, domain experts, and software engineers to translate abstract topological results into practical solutions. You may contribute to interdisciplinary research, provide insights during project planning meetings, and help interpret complex data structures uncovered through TDA methods. Regular communication and collaborative problem-solving are essential, as you’ll frequently explain technical concepts to non-specialists and incorporate their feedback into analysis workflows. This collaborative environment fosters innovation and ensures that TDA findings are effectively integrated into broader analytical and business strategies.

What are the most commonly searched types of Topological Data Analysis jobs in Texas? The most popular types of Topological Data Analysis jobs in Texas are:
What are popular job titles related to Topological Data Analysis jobs in Texas? For Topological Data Analysis jobs in Texas, the most frequently searched job titles are:
Infographic showing various Topological Data Analysis job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Technical Program Manager II, Spares Readiness, Data Center Operations

Socket.dev

Midlothian, TX • On-site

$138 - $197/hr

Other

Posted 4 days ago


Job description

MINIMUM QUALIFICATIONS:
  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 2 years of experience in program management.
  • Experience in supply chain management (e.g., infrastructure operations, supply chain operations, data center operations or manufacturing).
  • Experience with advanced data analytics/statistical analysis (e.g., SAP, SQL, dashboard creation).
PREFERRED QUALIFICATIONS:
  • Lean or Six Sigma certification.
  • 2 years of experience managing cross-functional or cross-team projects.
  • Experience coordinating projects or programs across global teams, spanning multiple offices, time zones, and regional environments.
ABOUT THE JOB:

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

At Google, we own and operate the most advanced fleet of data centers and core technical infrastructure to power services and features used by billions of people around the world. Data Centers Central Operations is responsible for keeping these sites operating efficiently and safely.

Within the Data Centers Central Operations function, you will be a part of the Spares Readiness team and will be accountable for improvement/sustainment projects/programs that support our mission of assuring that data centers have their spare parts available to them when they need them.

You specifically will focus on Third-Party Data Centers, and will focus on developing programs focused on the facility stocking strategy for maintaining Google’s compute, storage and network infrastructure outside of Google-owned buildings.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:
  • Analyze, identify, and publish opportunities based on topological equipment similarities between various envelopes within the data center design catalogue, using available data and by researching data across partner organizations and site operations.
  • Drive efficiencies with knowledge sharing and develop process for managing critical part escalations and tracking optimizing part management and availability across envelope types.
  • Establish incident monitoring reporting and analytics in relation to spare part consumption within third-party data centers.
  • Learn key tactical tools and maintenance procedures used across YAWN and third-party data centers sites and develop insights to guide new processes and programs.
  • Collaborate with site leaders, site teams, and cross-functional partners across our fleet, understanding key gaps, pain points, and opportunities that exist across third-party data centers, while providing support, recommendations, and building robust relationships with the site teams.
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