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Remote Topological Data Analysis Jobs in Virginia

ASCENDING LLC

Data Governance Analyst

Richmond, VA · On-site +1

Data Governance Analyst (Contract) Remote - Must reside in Central Virginia and be able to come onsite on demand 1 year contract W2 or 1099 We are looking for a Data Governance Analyst to support our ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Provide consulting relating to the data mining and analysis of data from a range of sources to ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Provide consulting relating to the data mining and analysis of data from a range of sources to ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Delivery Teams are primarily responsible for data analysis/data science work supporting the ...

SAIC

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

kgs

Data & Metrics Analyst (REMOTE)

Chantilly, VA · Remote

The position is remote. We offer competitive compensation and an extraordinary benefits package ... Conduct trend analysis and data modeling to identify patterns, bottlenecks, and risk areas within ...

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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.
What are popular job titles related to Remote Topological Data Analysis jobs in Virginia? For Remote Topological Data Analysis jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Topological Data Analysis jobs in Virginia look for? The top searched job categories for Remote Topological Data Analysis jobs in Virginia are:
What cities in Virginia are hiring for Remote Topological Data Analysis jobs? Cities in Virginia with the most Remote Topological Data Analysis job openings:
Remote Topological Data Analysis jobs near you
Infographic showing various Remote Topological Data Analysis job openings in Virginia as of July 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 33% In-person, and 67% Remote job distribution.

Data Scientists and Data Analysts - Future Consideration

Analytic Services Inc

Arlington, VA • On-site, Remote

Other

Re-posted 10 days ago

Job description

Interested in joining ANSER as a Data Scientist or Data Analyst, but don't see a current opening that matches your experience?

We'd still love to connect with you! Please send us your resume, and we'll keep your information on file for future opportunities that align with your background and skills.

As a Data Scientist or Data Analyst at ANSER, you'll work alongside multidisciplinary teams to analyze complex datasets, generate actionable insights, and support mission-critical decisions for government clients, internal stakeholders, and external partners.

Most roles are based in the greater Northern Virginia and Washington, D.C. area and require on-site work five days a week. Some positions may offer hybrid or remote options, but this is determined case by case and is not typical for most roles.

General Day-to-Day Responsibilities:

  • Collect, clean, and analyze large datasets to support program objectives and strategic decision-making.
  • Design and build data models, visualizations, and dashboards to communicate insights clearly to technical and non-technical audiences.
  • Conduct statistical analyses, forecasting, and predictive modeling to identify trends and inform policy or operational recommendations.
  • Collaborate with subject matter experts (SMEs), engineers, and analysts to understand data needs and develop tailored solutions.
  • Present findings through briefings, technical reports, or presentations to leadership and government stakeholders.
  • Ensure the accuracy, integrity, and security of data throughout the analysis process.
  • Stay current with industry trends and tools in data science, analytics, and emerging technologies.
  • Provide data subject matter expertise to senior stakeholders on data governance and policy related to data usage, technology and integration.

General Required Qualifications:

  • Minimum of bachelor's degree in data science, Statistics, Computer Science, Mathematics, or a related field.  Master's degree is required for senior level roles.
  • 3+ years of experience in data analysis or data science, ideally in support of government, defense, or intelligence programs.
  • Proficiency in data analysis and visualization tools such as Python, R, SQL, Tableau, or Power BI.
  • Experience working with large and complex datasets from multiple sources.
  • Strong problem-solving skills and the ability to communicate complex information clearly and concisely.
  • Knowledge of statistical methods, machine learning techniques, or data modeling frameworks.
  • Ability to manage multiple priorities in a fast-paced, mission-focused environment.
  • Active security clearance or the ability to obtain one may be required depending on the position.
  • Prior experience and knowledge of defense agencies and their technology policies.

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