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Data Scientist

Vantor

Reston, VAFull-time$116–169K/yrPosted todayStill listed today

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At a glance

Compensation
$116–169K/yr
Location
Reston, VA
Schedule
Full-time
Work Authorization
US work authorization required

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

TS/SCI clearance, required

Job overview

Vantor is seeking a data analytics professional to support an Intelligence Community MASINT mission. The role involves preparing and analyzing structured and unstructured data, supporting data pipelines and LLM-enabled workflows, and communicating findings to technical and nontechnical audiences. Candidates must hold an active TS/SCI clearance with CI Polygraph and be U.S. citizens. A degree may be substituted with two additional years of experience.

Skills & qualifications

RequiredNice to have

Skills

Python, requiredSQL, requiredData Wrangling, requiredPandas, requiredPySpark, requiredAPI Integration, requiredBatch Processing, requiredRelational Databases, requiredData Modeling, requiredMetadata Management, requiredData Governance, requiredTableau, requiredDashboarding, requiredCloud Platforms, requiredAWS, requiredAzure, requiredGCP, requiredAttention to Detail, requiredDocumentation, requiredAnalytical Requirements, requiredData Visualization, requiredWritten Communication, requiredBriefing, requiredMASINT, nice to haveTECHINT, nice to haveClairvoyant, nice to haveData Pipeline Orchestration, nice to haveDocker, nice to haveRancher, nice to haveKubernetes, nice to haveLLM Concepts, nice to haveNLP Concepts, nice to haveGIS, nice to haveGraph Analytics, nice to haveEnterprise Architecture, nice to haveMetadata Standards, nice to haveMaster Data Management, nice to haveAgile, nice to haveResponsible AI, nice to haveData Ethics, nice to have

Qualifications

Active TS/SCI Clearance With CI Polygraph, required3 Years Data Analytics or Engineering Experience, requiredBachelor's in Data Science or Related, requiredBachelor's or 2 Additional Years Experience, requiredMaster's in Technical Field, nice to have

Benefits

401(k) Match

Full job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI Polygraph. Project: We're supporting a well-established customer that works on a critical and high-visibility mission. The team is tremendously talented and we need to add a data analyst with a strong foundation in MASINT analytical development for a growing number of customer requirements. Previous experience working on-site to support the DoD and the intelligence community is highly desirable.

Responsibilities: In this role you will be part of a critical Intelligence Community (IC) MASINT mission providing a multi-faceted team with subject matter expertise in data analytics. You will collaborate with senior data scientists to prepare, clean, and process structured and unstructured datasets for analysis. Working closely with counterparts across the IC and DIE, you will communicate analytical findings, assumptions, limitations, and recommendations to technical and nontechnical audiences. In addition, other responsibilities include:

  • Use Python, SQL, and scripting tools to automate routine data-preparation, data-quality, and reporting tasks.
  • Query, integrate, and analyze data from relational databases, approved APIs, flat files, and enterprise data platforms.
  • Support data-pipeline requirements by documenting source-data issues, business rules, transformations, and validation needs for data engineering teams.
  • Identify data-quality issues, inconsistencies, and gaps, and coordinate with appropriate technical teams to resolve them.
  • Assist in the development and deployment of data pipelines in collaboration with data engineering and DevOps teams.
  • Assist with data tagging, metadata capture, and dataset curation for knowledge-management and LLM-enabled workflows.
  • Implement basic statistical analyses, visualizations, and reporting to support exploratory data analysis and hypothesis validation.
  • Maintain detailed documentation of data preparation methods, scripts, and pipeline configurations.
  • Support integration of data into downstream modeling and LLM/NLP workflows.
  • Gain exposure to knowledge management systems supported by LLMs and assist in tagging or curating training datasets for LLM models.
  • Develop recurring reports, ad hoc analyses, and data visualizations that support operational and leadership decision-making.
  • Communicate analytical findings, assumptions, limitations, and recommendations to technical and nontechnical audiences.

Minimum Qualifications:

  • Must have active TS/SCI security clearance with CI Polygraph.

  • Bachelor’s degree in data science, computer science, engineering, statistics, GIS, or related discipline. Degree may be substituted with an additional 2 yrs of experience.

  • 3 years of professional experience in data analytics or data engineering roles.

  • Proficiency in Python and SQL.

  • Experience with data wrangling libraries (e.g., pandas, PySpark) and working with APIs or batch processing tools.

  • Experience working with SQL and relational databases.

  • Understanding of data modeling, metadata management, and data governance principles.

  • Proficient with Tableau or similar dashboard tools.

  • Exposure to cloud platforms such as AWS, Azure, or GCP, especially in data-related services.

  • Strong attention to detail and documentation practices.

  • Ability to translate stakeholder questions into clear analytical requirements, metrics, reports, and visualizations.

  • Ability to communicate findings effectively through written products, dashboards, briefings, and data visualizations.

Preferred Qualifications:

  • Master’s degree in a technical field (e.g., Data Science, Computer Science, Engineering).

  • Experience working with MASINT and TECHINT data.

  • Experience using Clairvoyant or similar orchestration platforms to manage and monitor data pipelines.

  • Familiarity with container orchestration tools like Docker, Rancher, or Kubernetes.

  • Basic knowledge of LLM and NLP concepts, including using pre-trained models for simple tasks like summarization or keyword extraction.

  • Basic familiarity with GIS tools and data

  • Experience with graph data science algorithms and graph analytics.

  • Knowledge of enterprise architecture, metadata standards, or master data management.

  • Experience working in agile teams or cross-functional technical environments.

  • Understanding of responsible AI practices and basic data ethics.

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.

  • The base pay for this position within the Washington, DC metropolitan area is: $116,000.00 - $154,000.00 - $169,400.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

How this job compares

Set against the 4,618 open Data Scientist jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This posting$116–169K/yr
  • Virginia median$131–188K/yr295 salary ranges
  • US median$133–210K/yr3,652 salary ranges

This range's midpoint, $143K, is 11% below the Virginia median midpoint ($161K) — in the middle half of Data Scientist salary ranges in Virginia.

Openings
Olive Jobs lists 375 open Data Scientist jobs in Virginia and 4,618 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Virginia
Experience
This posting asks for at least 3 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,010 postings).
Education
2,262 of the 4,618 open Data Scientist jobs (49%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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