

Take2 Consulting, LLC
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a contract length of over 6 months, located on-site in Springfield, VA. Key skills include proficiency in Python, SQL, and GEOINT knowledge, along with an active TS/SCI clearance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
909
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🗓️ - Date
August 4, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Yes
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📍 - Location detailed
Springfield, VA
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🧠 - Skills detailed
#Python #Data Pipeline #Graph Databases #Data Science #Datasets #Consulting #Database Design #ML (Machine Learning) #Databases #SQL (Structured Query Language)
Role description
Take2 Consulting is seeking a Senior Data Scientist to support a high-impact geospatial intelligence mission on client site in Springfield, VA. This role applies advanced data science and machine learning techniques to GEOINT and multi-INT data to help analysts and decision-makers derive actionable insight from complex intelligence datasets.
Responsibilities:
• Apply data science and machine learning methodologies to GEOINT and related intelligence data to solve mission-critical analytic problems
• Design, build, and maintain data pipelines and analytic models using Python and SQL
• Collaborate with intelligence analysts and technical teams to understand mission needs and translate them into data-driven solutions
• Develop and test new analytic methodologies to adapt to evolving mission requirements
• Work with graph databases and multi-INT data sources to support advanced analytic use cases
• Communicate findings and technical approaches clearly to both technical and non-technical stakeholders
Required Qualifications:
• Active TS/SCI clearance with willingness to take a CI polygraph
• Ability to work on client site in Springfield, VA, 40 hours per week (no telework)
• Knowledge of GEOINT collection and associated systems
• Proficiency with Python and SQL
• Bachelor's and Master's degree in Data Science or a related field
• 5+ years of related professional experience
Preferred Qualifications:
• Knowledge of graph databases and database design
• Experience with SPARQL
• Experience working with multi-INT data
• Experience applying machine learning algorithms to intelligence data
• Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies
Take2 Consulting is seeking a Senior Data Scientist to support a high-impact geospatial intelligence mission on client site in Springfield, VA. This role applies advanced data science and machine learning techniques to GEOINT and multi-INT data to help analysts and decision-makers derive actionable insight from complex intelligence datasets.
Responsibilities:
• Apply data science and machine learning methodologies to GEOINT and related intelligence data to solve mission-critical analytic problems
• Design, build, and maintain data pipelines and analytic models using Python and SQL
• Collaborate with intelligence analysts and technical teams to understand mission needs and translate them into data-driven solutions
• Develop and test new analytic methodologies to adapt to evolving mission requirements
• Work with graph databases and multi-INT data sources to support advanced analytic use cases
• Communicate findings and technical approaches clearly to both technical and non-technical stakeholders
Required Qualifications:
• Active TS/SCI clearance with willingness to take a CI polygraph
• Ability to work on client site in Springfield, VA, 40 hours per week (no telework)
• Knowledge of GEOINT collection and associated systems
• Proficiency with Python and SQL
• Bachelor's and Master's degree in Data Science or a related field
• 5+ years of related professional experience
Preferred Qualifications:
• Knowledge of graph databases and database design
• Experience with SPARQL
• Experience working with multi-INT data
• Experience applying machine learning algorithms to intelligence data
• Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies






