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Exploitation Specialist/Data Scientist support to MA VEN, EO and SAR (Senior)

Reads like a Data Engineer role: pipelines and data infrastructure.

Pay
$175,000–195,000/yearAnnual period assumed — pay source
Demonstrated expertise in math, statistics, and quantitative analysis. Experience with various analytic techniques such as classification, regression, clustering, data reduction, and causal modelling. Pay Range: $175,000-$195,000 The BTS pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors to establish an equitable and competitive compensation package. These considerations include, but are not limited to, the extent and intricacy of the role’s responsibilities, the candidate’s educational background, their work experience, and the specific competencies crucial for success in the role.
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Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
Citizens onlyTS/SCI, must be willing to take a CI Poly in the future

What you’ll work on

Full posting
  • Integrate emerging sensors into existing Maven data pipelines and schemas

  • Build web scraping algorithms and tools for imagery curation

  • Build software tools to manage labeling campaigns and filter and visualize geospatial data

  • Partition sensor data into training, test, and validation splits for ML models

  • Support data analytics, cleansing, and ETL transformation

From the employer’s posting
Integrate emerging sensors and platforms into existing Maven or Government directed data pipelines
Build web scraping algorithms for imagery curation in accordance with NGA Maven data priorities
Build software tools to manage labeling campaigns that keep track of unlabeled and labeled data
Evaluate and recommend a solution for partitioning the emerging sensor's data into training, test, and validation splits
Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities

What you’ll bring

All qualifications

Core experience

  • Experience working with Al/ML technologies and data systems
  • Experience working with multiple file types including geospatial file formats, JSON,XML, etc.
  • 3+ years of experience doing quantitative analysis, developing visualizations, and

Preferred experience

  • Experience applying Natural Language Processing (NLP) algorithms to extract data from documents
  • Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting along with data standardization best practices.
  • Demonstrated expertise in math, statistics, and quantitative analysis.
  • Experience with various analytic techniques such as classification, regression, clustering, data reduction, and causal modelling.
Qualification wording
Experience working with Al/ML technologies and data systems
Experience working with multiple file types including geospatial file formats, JSON,XML, etc.
3+ years of experience doing quantitative analysis, developing visualizations, and
Experience applying Natural Language Processing (NLP) algorithms to extract data from documents
Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting along with data standardization best practices.
Demonstrated expertise in math, statistics, and quantitative analysis. Experience with various analytic techniques such as classification, regression, clustering, data reduction, and causal modelling.

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 20264 days ago
Recorded sightings
5
Last seen by us
Nov 5, 2026
Employer says posted
Jun 11, 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

$175K–$195K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 6 and day 54.

From 11,247 similar postings that came down. Coming down is not always a hire.

BTS Software Solutions is hiring

6 open jobs

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

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
  • NoSQL
Where the posting names them
processing complex data to create data-driven insights. This should include experience with data manipulation, extract, transform, load (ETL) procedures, and a working knowledge of database technologies (SQL, NoSQL) - Development experience in Python and other languages for data cleaning and manipulation
- 3+ years of experience doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights. This should include experience with data manipulation, extract, transform, load (ETL) procedures, and a working knowledge of database technologies (SQL, NoSQL) - Development experience in Python and other languages for data cleaning and

Your next step

Complete your application on btscommercial.clearcompany.com. The employer’s form will show what is required.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

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

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

+++ This opportunity is for an upcoming award expected in November 2026****

BTS Software Solutions is seeking a Senior Exploitation Specialist/Data Scientist support to MA VEN, EO and SAR to support Department of Defense IC missions at Springfield, VA.

The Senior Exploitation Specialist/Data Scientist shall perform data analysis via statistical and quantitative methods, develop visualizations to support decision making, and develop software to enable thorough monitoring and management of data pipeline tasks.

Primary Location: Springfield, VA

Secondary Locations: St. Louis, Missouri

Clearance Requirement: TS/SCI, must be willing to take a CI Poly in the future

What You’ll Get to Do:

Job Duties:

  • Integrate emerging sensors and platforms into existing Maven or Government directed data pipelines. These emerging sensors may still be going through their
    experimentation/pre-IOC (Initial Operating Capability) phase prior to final full
    operational status. With as much available information as possible on the emerging sensor, develop pipelines and relevant data structures to incorporate new sensor source into existing data workflows.
  • Assess potential differences in metadata, data format, and data structure characteristics in regards to changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
  • Conduct analysis of how the emerging sensor data impacts overall Maven data holdings from the perspective of Machine Leaming model development, test and evaluation use cases, and support for real-world operational use-cases
  • Evaluate and recommend a solution for partitioning the emerging sensor's data into training, test, and validation splits for effective Machine Leaming model development and model performance evaluation
  • Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. This position will help accelerate the implementation of the NGA Maven Data Strategy and crisis response to the community. Foster cross-departmental collaboration to enhance workflows and create efficiencies in data analysis and imagery curation that results in greater productivity and efficacy of labeling efforts
    • Lead projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data
  • Build web scraping algorithms for imagery curation in accordance with NGA Maven data priorities
  • Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and concerns to meet NGA Maven's priorities
  • Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities
  • Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives
  • Build and integrate analytic tools and algorithms for imagery curation for imagery
    acquisition and chipping
  • Design methods and mechanisms to track, report, and monitor a set of mission specific objectives in order to maintain custody of NGA Maven training data priorities
  • Build software tools to manage labeling campaigns that keep track of unlabeled and labeled data, status of labeling campaigns, and transfer label task information. Tool must support Application Programming Interface (API)-based movement of information between platforms.
  • Build software tools to filter and visualize data geospatially, allow feedback entry, or allow analysis of data. Tool must integrate with existing data management platform
  • Conduct analysis of overall Maven data holdings to support the development of performant Artificial Intelligence and Machine Learning models to satisfy operational user requirements
  • Evaluate, monitor, and provide recommendations on ways to partition training, test, and validation splits for effective Machine Leaming model development and model performance evaluation

Required Skills:

  • Experience working with Al/ML technologies and data systems
    Experience working with multiple file types including geospatial file formats, JSON,XML, etc.
  • 3+ years of experience doing quantitative analysis, developing visualizations, and
    processing complex data to create data-driven insights. This should include experience with data manipulation, extract, transform, load (ETL) procedures, and a working knowledge of database technologies (SQL, NoSQL)
  • Development experience in Python and other languages for data cleaning and
    manipulation

Desired Skills

  • Experience applying Natural Language Processing (NLP) algorithms to extract data from documents
  • Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting along with data standardization best practices.
  • Demonstrated expertise in math, statistics, and quantitative analysis. Experience with various analytic techniques such as classification, regression, clustering, data reduction, and causal modelling.

Pay Range: $175,000-$195,000
The BTS pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors to establish an equitable and competitive compensation package. These considerations include, but are not limited to, the extent and intricacy of the role’s responsibilities, the candidate’s educational background, their work experience, and the specific competencies crucial for success in the role.

Company Overview:

BTS Software Solutions is a Service-Disabled Veteran Owned Small Business who are community-focused innovators who transform ideas into technology to serve people. We recognize that innovation is only valuable when applied towards a needed solution. Technology has no value without the hard work to turn ideas into reality. Our roots are in helping save Soldiers’ lives through technology. We bring that ethos to serving our community. We create solutions that touch people's lives - products to communicate, to connect companies with customers, to stay informed, to save lives, and to enhance lives.

We have a small company persona with a large company ethos and capabilities; we create elegant solutions for complex problems that will enrich people’s lives. We offer one of the best benefits packages in the industry: Competitive health benefits package, PTO, 401K matching and vested from day one to name just a few of our benefits and perks.

BTS Software Solutions is an Equal Opportunity Employer (EOE). All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Source details

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Pay
Demonstrated expertise in math, statistics, and quantitative analysis. Experience with various analytic techniques such as classification, regression, clustering, data reduction, and causal modelling. Pay Range: $175,000-$195,000 The BTS pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors to establish an equitable and competitive compensation package. These considerations include, but are not limited to, the extent and intricacy of the role’s responsibilities, the candidate’s educational background, their work experience, and the specific competencies crucial for success in the role.
Location & working pattern

Springfield, VA, US

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

Work authorization
We have a small company persona with a large company ethos and capabilities; we create elegant solutions for complex problems that will enrich people’s lives. We offer one of the best benefits packages in the industry: Competitive health benefits package, PTO, 401K matching and vested from day one to name just a few of our benefits and perks. BTS Software Solutions is an Equal Opportunity Employer (EOE). All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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