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Remote Topological Data Analysis Jobs (NOW HIRING)

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site +1

$104K - $125K/yr

... analyzing and managing In-Line Inspection data for the Natural Gas Liquids, Natural Gas Pipeline ... The schedule is Hybrid, working from the Tulsa office Monday-Thursday and working remote on Friday.

Data Analyst Location: Remote Duration: 6 Months (Contract) Demonstrated ability to effectively gather requirements, probe for deeper understanding, and translate deep technical concepts to non ...

Data Analyst [Remote] Job Overview: We are seeking a talented and experienced Data Analyst to join our team on a full-time basis. As a Data Analyst, you will be responsible for collecting, organizing ...

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote role strictly for candidates within the United States. Position Overview: As a ... Data Analysis: * Utilize statistical methods and analytical techniques to interpret complex data ...

Overview The Data Intern will work closely with the Data Analyst to support a variety of data ... Onsite or remote options may be available. Students should be local to the WNY area. This is an ...

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical ...

Showing results 21-40

Remote Topological Data Analysis information

What are the key skills and qualifications needed to thrive as a remote topological data analyst, and why are they important?

To excel as a Remote Topological Data Analyst, you need a robust background in mathematics, particularly topology and data analysis, often supported by an advanced degree in mathematics, statistics, or computer science. Familiarity with programming languages such as Python or R, experience with TDA libraries (like GUDHI or Ripser), and proficiency in data visualization tools are typically required. Strong problem-solving skills, self-motivation, and effective communication are crucial soft skills for collaborating remotely and conveying complex insights to diverse stakeholders. These abilities enable analysts to extract meaningful patterns from high-dimensional data and deliver actionable results in a distributed work environment.

What are some typical challenges faced by professionals working in remote topological data analysis roles?

Professionals in remote Topological Data Analysis often encounter challenges related to collaborating across distributed teams, especially when interpreting complex, high-dimensional data. Communication is key, as team members may need to frequently discuss data structures, algorithms, and findings via virtual meetings and shared documentation. Additionally, staying updated on the latest research and software tools in the rapidly evolving field requires proactive self-learning and participation in online communities. Despite these challenges, remote work offers flexibility and the opportunity to collaborate with experts worldwide.

What is remote topological data analysis?

Remote topological data analysis refers to the use of topological methods for analyzing data, performed by professionals who work remotely rather than on-site. Topological data analysis (TDA) is a technique in data science that uses concepts from topology, a branch of mathematics, to extract meaningful patterns and structures from complex datasets. Remote TDA specialists utilize tools like persistent homology to identify features such as clusters, holes, or voids in high-dimensional data. They often collaborate with teams virtually, leveraging cloud-based computational resources and software platforms to conduct their analyses. This approach allows organizations to access specialized expertise regardless of geographic location.
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Infographic showing various Remote Topological Data Analysis job openings in the United States as of August 2026, with employment types broken down into 57% Full Time, 11% Part Time, 16% Temporary, and 16% Contract. Highlights an 100% Remote job distribution.

Intern, Data Analytics

EV Realty

San Francisco, CA • On-site, Remote

Internship

Re-posted 27 days ago


Job description

The Company

At EV Realty, we're building the infrastructure backbone that powers the electrification of next generation commercial fleets - one high-powered charging hub at a time.

We develop, own, and operate purpose-built EV charging hubs designed to solve the critical barrier to fleet electrification: access to reliable, low-cost, scalable grid power. Our Powered Properties are strategically located to serve fleet customers where they operate, providing dedicated, secure charging solutions where and when they need it most. We build with reliability and scale in mind, delivering the infrastructure that mission-critical commercial fleets require to keep moving.

We believe in transparency, ownership, and building things the right way - for our customers and for our team. If you're excited to help build the new era of commercial transportation, we'd love to meet you.

The Role

As a Data Analytics Intern you will help build and maintain various analytics tools and processes that will support project siting decisions, related to the electric grid and/or customer acquisition, and directly enable EV Realty's ability to operate in a wide range of markets. This role will support the vision, strategy roadmap, development, and continued improvement of these tools. The Data Analytics Intern will work primarily with the Data Science team but may require cross-collaboration with our Business Development, Real Estate, and Operations teams. This position is a summer internship.

The ideal candidate will be a self-starter, a natural problem solver who is highly adaptable, and an effective communicator; they will have a strong programmatic approach but also the flexibility and creativity to source, interpret, and utilize data in unconventional ways.

This role will be located in San Francisco, CA or Salt Lake City, UT.

Key Responsibilities

The Data Analytics Intern is a summer position which will contribute to various projects that support EV Realty's analytics tools and processes.

This includes: 

  • Assist with data pipelines, transformations, and data preparation for integration with EV Realty's backend infrastructure and tools
  • Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows
  • Query SQL databases and leverage GIS to support business analytics and reporting needs
  • Document analytical workflows, processes, data definitions, and research in a clear and effective manner
  • Assist with LLM and AI innovation initiatives to enhance end-user experiences
  • Help create niche data products as needed to support internal team objectives
  • Work with cross-functional leaders and experts to establish best practices and identify opportunities to improve the product development and delivery process
  • Effectively communicate key insights from analyses, methodologies, and data products to internal teams
Knowledge and Skills
  • Programming Proficiency and experience in Python, SQL, or similar languages. Python and SQL preferred
  • Aptitude for GIS-based techniques, data structures, and software such as CARTO, ArcGIS, or QGIS
  • Analytical experience with Excel
  • Cloud infrastructure knowledge with Snowflake, Databricks or similar platform
  • Strong analytical skills and innate problem-solving capabilities
  • Excellent communication and cross-functional collaboration abilities
  • Must be comfortable in an unstructured, fast-moving, and constantly evolving high-growth environment
  • Naturally accountable, responsible, and self-motivated. Independent workflow must be effectively harmonized with remote collaboration
  • Familiarity with the transportation, energy or broader infrastructure sectors is a plus but not required
Qualifications
  • Currently pursuing a Bachelor's degree in Data Science, Statistics, Computer Science, GIS, Business Analytics or related fields
  • Junior or Senior standing preferred
  • GPA of 3.0 or higher
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