Exploitation Specialist/Data Scientist support to MA VEN, EO and

MC Software Solutions
Springfield, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 195K

Job location

Springfield, United States of America

Tech stack

Training Data
API
Artificial Intelligence
Business Analytics Applications
Data analysis
Computer Vision
Big Data
Databases
Data Cleansing
Data Governance
Web Scraping
ETL
Data Reduction
Data Structures
Data Systems
JSON
Python
Machine Learning
Maven
NoSQL
DataOps
Simple Data Format
Software Engineering
Software Systems
SQL Databases
XML
Data Processing
Data Strategy
Data Analytics
Data Management
Data Pipelines

Job description

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., * 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

Requirements

  • 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.

Benefits & conditions

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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