2

Remote Topological Data Analysis Jobs (NOW HIRING)

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 ...

Facilitate the needs, issues, and challenges faced by the clients; perform gap analysis and ... Use source data to assess the effectiveness of projects and business processes. * Develop, gather ...

... Remote * Minimum 5 yrs experience in Data Analysis work in SQL and NOSQL database Proficiency in Python is plus * Work with the Data Engineering Team to build data pipelines and configure ESP jobs.

... based on analysis findings * Develop and maintain a deep understanding of IVR application ... Provide data-driven insights and recommendations to inform design decisions and improve overall ...

Remote, Atlanta preferred. Hands-on experience in Neo4j database development, deployment and ... Neo4j data analysis. Experience with SQL Strong programming skills in Python or Java Excellent ...

Senior Data Analyst

$88K - $112K/yr

Did we mention we're fully remote? We found that life is just better with a fully remote workforce ... This role also includes active and responsible use of AI tools to accelerate analysis, exploration ...

Data Engineer -REMOTE

Phoenix, AZ · Remote

$113K - $136K/yr

Key Responsibilities · Develop and execute complex queries in MongoDB, MySQL, and SQL to analyze ... data analysis, automate workflows, or optimize reporting processes. Work Location: Remote

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

This position is fully remote. Overview The Healthcare Data Analyst Senior provides data analysis ... Must have hands-on analysis, dashboard delivery, recurring and ad hoc reporting, metric development

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Ability to communicate analysis techniques, concepts, and products. * Ability to develop data ... Remote Work: in an industry of declining remote work opportunities. * People-Focused Culture: we ...

Ability to communicate analysis techniques, concepts, and products. * Ability to develop data ... Remote Work: in an industry of declining remote work opportunities. * People-Focused Culture: we ...

next page

Showing results 1-20

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.
More about Remote Topological Data Analysis jobs
What cities are hiring for Remote Topological Data Analysis jobs? Cities with the most Remote Topological Data Analysis job openings:
What are the most commonly searched types of Topological Data Analysis jobs? The most popular types of Topological Data Analysis jobs are:
What states have the most Remote Topological Data Analysis jobs? States with the most job openings for Remote Topological Data Analysis jobs include:
Infographic showing various Remote Topological Data Analysis job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Analyst

Full-time

Posted 6 days ago


Job description

Position: 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-technical as well as technical stakeholders, marketing customers, and data analytics teams
• Build/review complex visualization solutions, data files/extracts, and deliver insights to clients
• Develop, implement, enhance, maintain existing Data visualization solutions
• Self-motivated professional who can operate independently and produce results
Solid data visualization and data analysis acumen
• Effective interpersonal influence and collaboration skills with internal stakeholders
Tech Stack must have - Tableau, SQL, Python, Databricks notebooks, Snowflake