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Intern Topological Data Analysis Jobs in Virginia

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Intern Topological Data Analysis information

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 are the most commonly searched types of Topological Data Analysis jobs in Virginia?

The most popular types of Topological Data Analysis jobs in Virginia are:

What are popular job titles related to Intern Topological Data Analysis jobs in Virginia?

For Intern Topological Data Analysis jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Intern Topological Data Analysis jobs in Virginia look for?

The top searched job categories for Intern Topological Data Analysis jobs in Virginia are:

What cities in Virginia are hiring for Intern Topological Data Analysis jobs?

Cities in Virginia with the most Intern Topological Data Analysis job openings:

Intern Topological Data Analysis jobs near you
Infographic showing various Intern Topological Data Analysis job openings in Virginia as of August 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution.

USSF Modeling, Simulation and Analysis SME

Sigmatech, Inc.

Arlington, VA

Full-time

Re-posted 11 days ago

Job description

Sigmatech, Inc. is seekingModeling, Simulation, and Analysis (MSA) SME for our customer site inArlington, VA. This position will support the US Space Force (USSF)Directorate of Force Design and Analysis (SF/S9). The Deputy Chief of SpaceOperations for Space Analysis assists the Secretary of the Air Force (SecAF),other Secretariat offices, and the Chief of Space Operations (CSO) developingthe USSF vision and capability needs; champion the advancement of emergingtechnologies; employ advanced technologies to digitally transform the USSF;assure USSF digital infrastructure and Information Technology (IT) needs aremet; effectively manage USSF data; and coordinate, synchronize, and conductanalysis supporting the Office of the Chief of Space Operations staff. The MSA SME will identify, develop, and evaluate MSA tools to assess theenterprise-level mission and joint mission thread effectiveness of space forcebaseline and excursion architectures.  In addition, they will apply DoWMission Engineering principles to all enterprise-level assessments and conductCost as an Independent Variable Analysis on the various viablealternatives.  Finally, they will integrate the various MSA assessments toevaluate enterprise resource questions.

Responsibilities:

  • Modeling & Simulations and Analytics (MS&A) identification, development, application, assumptions and limitations
  • Support as member of a contractor team working alongside a broader team of government and contract staff
  • Understand customer strategy/force planning requirements, adjusting analytical efforts to meet those requirements, and effectively communicating results
  • Leverage MS&A to assess future candidate concepts and capabilities to address operations gaps and meet future requirements
  • Enterprise-level operational and readiness analysis, analyzing operational impacts of the space portfolio, evaluating requirements, operational planning, exercises/war games
  • MS&A to support fully burdened future concepts development, defensive cyberspace operations, weapon system sustainment, force generation to include visualization creation to communicate objective force impacts and address operational gaps
  • Utilizing studies and analyses, make recommendations regarding the military utility, feasibility, and affordability of the concepts and capabilities under study
  • Familiarity with the POM cycle and PPBE process to apply analysis to inform budget priorities
  • Ability to coordinate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives 
  • Generate metrics and solutions for specific technical analysis in a mission relevant timeframe
  • Apply techniques for approaching complex problems with large amounts of data
  • Apply operations research techniques and supporting skills such as database query languages, design of experiment and response surface methodologies, scripting language programming, and development of appropriate models and simulations. 
  • Apply the results of methodologies associated with artificial intelligence such as neural nets, deep nets, topological data analysis, and reinforcement learning
  • Adept at breaking complex problems into manageable elements and identifying candidate solutions for each
  • Ability and motivation to expand their knowledge of various analytic tools and techniques and are expected to seek out opportunities to improve processes and share knowledge with the broader analytic community



    Required Skills and Experience: 

    • Bachelor's Degree in Operations Research, Mathematics, Probability, Statistics, or other technical degree requiring substantial competence in college-level mathematics or statistics
    • 10 years or more analytic experience
    • Experience with Statistics, Error Analysis, Data Confidence, Data Regression, Mission Engineering and System Architecture
    • JFOS, JMTs, Force Design (DoW, Space Force, and Service Organization)
    • Understanding of Operations Research, System of Systems (SoS) Engineering, Astrodynamics, Satellites, Cost as an independent variable / ROI Assessments
    • Clarity of strategic, operational, and tactical levels; national, enterprise, campaign, mission, system/scenario
    • Scientific Method experience with an understanding of what analysis is and isn't
    • Comfortable with methodologies associated with artificial intelligence such as neural nets, deep nets, topological data analysis, and reinforcement learning
    • Adept at breaking complex problems into manageable elements and identifying candidate solutions for each
    • Familiarity with machine learning and associated applications
    • Ability and motivation to expand their knowledge of various analytic tools and techniques and are expected to seek out opportunities to improve processes and share knowledge with the broader analytic community
    • Experience in the research, analysis, and application of operations research techniques to more than one problem type
    • Excellent oral and written communication skills
    • An active TS/SCI clearance is required

    Preferred Skills and Experience:

    • Master's Degree in Operations Research, Mathematics, or Statistics
    • 15-20 years of experience
    • Experience within the DoD or as a Defense Contractor working as an analyst
    • Experience conducting combat modeling simulation and analysis
    • Experience using AFSIM, STORM, SEAS, or other related models
    • Strong quantitative and analytic abilities to integrate and analyze data
    • Knowledge of Python, Tableau, and experience with Palantir products (Foundry), SAS, SPSS, Java, Tableau, MS Office & VBA
    The salary range for this role is $200,000 to $220,000; however, Sigmatech considers several factors when extending an offer, including but not limited to, experience, education/training, key skills, location and often contractual requirements.

    EEO employer