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Data Scientist (TS/SCI)

Pay
$140,000–200,000/yearAnnual period assumed — pay source
The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is: $140,000.00 - $200,000.00 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
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
US citizens onlyTo be eligible for this position, you must be a US Citizen

What you’ll work on

Full posting
  • Design, develop and evaluate statistical models and machine learning algorithms

  • Analyze large, complex datasets to find patterns, trends and anomalies

  • Train, validate and optimize machine learning models

  • Work with data engineers to put analytical models into the analytics platform

  • Explain findings and recommendations to technical teams and government stakeholders

From the employer’s posting
Design, develop, implement, and evaluate statistical models, machine learning algorithms, and predictive analytics solutions
Analyze large, complex, and diverse datasets to identify patterns, trends, relationships, anomalies, and actionable insights
Develop, train, validate, and optimize machine learning models
Collaborate with data engineers and software developers to operationalize analytical models
communicate findings, methodologies, and recommendations to technical teams, government stakeholders, and senior leadership

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in data science, computer science, statistics, applied mathematics, or related quantitative discipline with 8+ years of total professional experience in a technical support role
  • Demonstrated experience in data science, advanced analytics, statistical modeling, machine learning, or a related technical discipline.
  • Strong proficiency in Python, SQL, and Elastic with experience using Elasticsearch and analytical computing libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
  • Demonstrated experience developing, validating, and applying statistical models, machine learning algorithms, and predictive analytics techniques to large and complex datasets.
Qualification wording
Bachelor's degree in data science, computer science, statistics, applied mathematics, or related quantitative discipline with 8+ years of total professional experience in a technical support role
Demonstrated experience in data science, advanced analytics, statistical modeling, machine learning, or a related technical discipline.
Strong proficiency in Python, SQL, and Elastic with experience using Elasticsearch and analytical computing libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
Demonstrated experience developing, validating, and applying statistical models, machine learning algorithms, and predictive analytics techniques to large and complex datasets.
Education & alternatives
- Must be a U.S. Citizen with an active TS/SCI clearance (With willingness to obtain a CI poly) - Bachelor's degree in data science, computer science, statistics, applied mathematics, or related quantitative discipline with 8+ years of total professional experience in a technical support role - Demonstrated experience in data science, advanced analytics, statistical modeling, machine learning, or a related technical discipline.
Apply at Maxar

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 2026today
Recorded sightings
2
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$140K–$200K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 55.

From 9,971 similar postings that came down. Coming down is not always a hire.

Maxar is hiring

25 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is steady
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • Elasticsearch
  • Hadoop
  • Kafka
  • Kibana
  • Power BI
  • Spark
  • Tableau
  • NumPy
  • pandas
  • Plotly
  • PyTorch
  • scikit-learn
  • SciPy
  • TensorFlow
  • XGBoost
  • GCP
Where the posting names them
- Demonstrated experience in data science, advanced analytics, statistical modeling, machine learning, or a related technical discipline. - Strong proficiency in Python, SQL, and Elastic with experience using Elasticsearch and analytical computing libraries such as Pandas, NumPy, SciPy, and Scikit-learn. - Demonstrated experience developing, validating, and applying statistical models, machine learning algorithms, and predictive analytics techniques to large and complex datasets.
- Machine learning frameworks, such as TensorFlow, PyTorch, or XGBoost - Cloud-based analytics and machine learning services, such as AWS, Microsoft Azure, or Google Cloud Platform - MLOps, including model deployment, monitoring, experimentation, and lifecycle management
- Advanced machine learning techniques, such as deep learning, natural language processing (NLP), large language models (LLMs), anomaly detection, classification, or clustering - Big data technologies and distributed computing frameworks, such as Apache Spark, Hadoop, or Kafka - Machine learning frameworks, such as TensorFlow, PyTorch, or XGBoost
- MLOps, including model deployment, monitoring, experimentation, and lifecycle management - Data visualization and reporting tools, such as Tableau, Kibana, Power BI, or Plotly - Geospatial, graph, or time-series analytics
- Big data technologies and distributed computing frameworks, such as Apache Spark, Hadoop, or Kafka - Machine learning frameworks, such as TensorFlow, PyTorch, or XGBoost - Cloud-based analytics and machine learning services, such as AWS, Microsoft Azure, or Google Cloud Platform

Your next step

Complete your application on maxar.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Has Maxar posted this job before?

Yes. We’ve followed 2 other Data Scientist (TS/SCI) jobs there since August 2026. All 2 are still up.

  1. HerndonStill up after 82 days, first seen Aug 14
  2. HerndonStill up after 1 day, first seen Nov 3
  3. This jobUp 1 day so far, first seen Nov 3

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.


We are seeking an experienced Data Scientist to support the development, implementation, and operationalization of advanced analytics capabilities for a large-scale U.S. Government data analytics platform. The successful candidate will apply statistical analysis, machine learning, predictive modeling, and other advanced analytical techniques to extract meaningful insights from large, complex, and diverse datasets in support of mission-critical government requirements.


The Data Scientist will work closely with data engineers, software developers, analysts, and government stakeholders to translate operational and mission needs into analytical solutions. Responsibilities will include developing and evaluating analytical models, identifying patterns and trends, designing experiments, and integrating data science capabilities into scalable, production-oriented analytics workflows.


Responsibilities:

  • Advanced Analytics and Modeling: Design, develop, implement, and evaluate statistical models, machine learning algorithms, and predictive analytics solutions to address complex analytical and mission requirements.
  • Data Exploration and Analysis: Analyze large, complex, and diverse datasets to identify patterns, trends, relationships, anomalies, and actionable insights using appropriate statistical and computational techniques.
  • Machine Learning and Model Development: Develop, train, validate, and optimize machine learning models; assess model performance, accuracy, scalability, and operational suitability.
  • Analytical Solution Integration: Collaborate with data engineers and software developers to operationalize analytical models and integrate data science capabilities into the broader analytics platform.
  • Analytical Leadership and Communication: Translate mission and business requirements into analytical approaches; communicate findings, methodologies, and recommendations to technical teams, government stakeholders, and senior leadership.

Minimum Qualifications:

  • Must be a U.S. Citizen with an active TS/SCI clearance (With willingness to obtain a CI poly)
  • Bachelor's degree in data science, computer science, statistics, applied mathematics, or related quantitative discipline with 8+ years of total professional experience in a technical support role
  • Demonstrated experience in data science, advanced analytics, statistical modeling, machine learning, or a related technical discipline.
  • Strong proficiency in Python, SQL, and Elastic with experience using Elasticsearch and analytical computing libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
  • Demonstrated experience developing, validating, and applying statistical models, machine learning algorithms, and predictive analytics techniques to large and complex datasets.
  • Willingness to work onsite at least 90% or as needs dictate in either Herndon, VA or Westminster, CO.

Preferred Qualifications:

  • Advanced machine learning techniques, such as deep learning, natural language processing (NLP), large language models (LLMs), anomaly detection, classification, or clustering
  • Big data technologies and distributed computing frameworks, such as Apache Spark, Hadoop, or Kafka
  • Machine learning frameworks, such as TensorFlow, PyTorch, or XGBoost
  • Cloud-based analytics and machine learning services, such as AWS, Microsoft Azure, or Google Cloud Platform
  • MLOps, including model deployment, monitoring, experimentation, and lifecycle management
  • Data visualization and reporting tools, such as Tableau, Kibana, Power BI, or Plotly
  • Geospatial, graph, or time-series analytics
  • Responsible AI, explainable AI (XAI), model governance, and evaluation of model bias, robustness, or reliability
  • Government, defense, intelligence, or other regulated environments

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Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings.  The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:

$140,000.00 - $200,000.00

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.

Source details

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Pay
The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is: $140,000.00 - $200,000.00 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
Location & working pattern

Herndon, VA

Working pattern and location restrictions need checking in the full posting.

Work authorization
Minimum Qualifications: - Must be a U.S. Citizen with an active TS/SCI clearance (With willingness to obtain a CI poly) - Bachelor's degree in data science, computer science, statistics, applied mathematics, or related quantitative discipline with 8+ years of total professional experience in a technical support role

More relevant text appears in the full description.

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