Data Scientist - Senior Job#822

Allen Integrated Solutions, LLC; Washington (District of Columbia); On-site; USD 120,000 - 170,000; Full time

Job summary

Allen Integrated Solutions, LLC is seeking a Data Scientist - Senior for on-site work in Springfield. The role focuses on leveraging AI/ML technologies and diverse data sources to generate data-driven insights.

Strong emphasis on Python development for data cleaning, manipulation, and visualization. Experience with geospatial data, JSON/XML, and advanced analytics like classification, regression, clustering, and causal modeling is required; NLP experience is a plus.

Qualifications

• 3+ years of experience performing quantitative analysis and building data-driven insights.
• Experience with AI/ML technologies and data systems.
• Development experience in Python for data cleaning and manipulation.

Responsibilities

• Work with AI/ML technologies and data systems to derive insights.
• Handle multiple file types including geospatial formats, JSON, XML.
• Develop visualizations and perform quantitative analysis to inform decisions.
• Apply NLP algorithms to extract data from documents (desirable).
• Contribute to NGA analytic modernization efforts and data standardization best practices.

Skills

AI/ML experience

Geospatial data handling

Python programming

NLP techniques

Tools

JSON

XML

Job description

Job Description

Data Scientist - Senior

Location: Springfield

VATS/SCI REQUIRED

Current CI polygraph is required immediately after starting (or already within scope)

Position Responsibilities

• Experience working with AI/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
• Development experience in Python and other languages for data cleaning and manipulation
• Desired: Experience applying 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 modeling