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

BTS Software Solutions; Springfield (VA); On-site; USD 175,000 - 195,000; Full time

Benefits offered by this job

Health benefits

PTO

401K matching

Job summary

BTS Software Solutions in Springfield, VA seeks a Senior Exploitation Specialist/Data Scientist to support DoD IC missions. You will analyze data using statistical methods, develop visualizations, and build software to monitor data pipelines and enable efficient data operations.

Primary responsibilities include integrating sensors into data workflows, supporting ML model development, and creating tools for labeling campaigns and imagery curation.

Qualifications

• Experience with AI/ML technologies and data systems.
• 3+ years of quantitative analysis, visualization, and ETL with databases (SQL/NoSQL).
• Development in Python for data cleaning and manipulation.

Responsibilities

• Integrate emerging sensors into Maven data pipelines.
• Assess metadata differences for ingestion into pipelines.
• Analyze sensor data impact on ML model development and use cases.
• Partition data for training, testing, and validation.
• Lead data analysis to build and enhance products and workflows.
• Build web scraping algorithms for imagery curation.

Skills

AI/ML experience

Quantitative analysis

Python data processing

SQL/NoSQL databases

Geospatial data formats

ETL procedures

Tools

JSON/XML

Job description

+++ 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 systemsExperience working with multiple file types including geospatial file formats, JSON,XML, etc.
• 3+ years of experience doing quantitative analysis, developing visualizations, andprocessing 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 andmanipulation

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-$195,000The 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.