Dragonfli Group
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 3+ years of experience in data engineering or analysis, focusing on Machine Learning/AI solutions for federal agencies. The multi-year contract offers competitive pay, requires U.S. citizenship, and emphasizes advanced data modeling and ETL expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 9, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#NoSQL #"ETL (Extract #Transform #Load)" #Consulting #R #AI (Artificial Intelligence) #Data Science #ML (Machine Learning) #Python #Cybersecurity #Anomaly Detection #Visualization #Databricks #Security #Data Modeling #Data Quality #Data Analysis #Data Engineering #Spark (Apache Spark)
Role description
Dragonfli Group is a cybersecurity and IT consulting firm providing services to federal agencies and Fortune 100 enterprises. Headquartered in Washington, DC, Dragonfli supports clients in securing mission-critical systems across on-site, hybrid, and fully remote environments.
Dragonfli Group seeks a Data Scientist with 3+ years of experience as a data engineer or data analyst. This role involves architecting and engineering Machine Learning/AI-based solutions to address large-scale enterprise problems related to anomaly detection, entity behavior evaluation, and data quality improvement.
This is a multi-year contract position involving a large US federal agency. Candidates with previous federal contracting experience are preferred. U.S. Citizenship or Permanent Residency required. If hired, all work related to this role must be performed within the continental U.S.
Responsibilities:
• Analyze data related to fraud resulting from identity verification and validation challenges.
• Support existing teams in solving enterprise-level problems.
• Architect and engineer Machine Learning/AI solutions for anomaly detection and entity behavior evaluation.
• Improve data quality through advanced data modeling.
• Implement Extract, Transform, Load (ETL) technologies.
• Work with highly structured data.
• Utilize data platforms and analytics tools such as Databricks and Zingg.
• Develop data visualization packages.
• Communicate and collaborate with multiple functional groups.
Requirements:
• 3+ years of experience as a data engineer or data analyst.
• 3+ years of experience with Machine Learning/AI-based solutions.
• Experience with data platforms and analytics tools (Databricks and Zingg).
• Proficiency in NoSQL, R, or Python and Spark.
• Experience with advanced data modeling and entity resolution.
• Experience implementing ETL technologies.
• Ability to work with highly structured data.
• Strong communication and collaboration skills.
Skills:
• Expertise in data analysis and fraud detection.
• Proficiency in Machine Learning/AI technologies.
• Advanced data modeling capabilities.
• Experience with data visualization.
• Strong problem-solving skills.
• Ability to work collaboratively in a team environment.
• Proficiency in data platforms and analytics tools.
• Excellent communication skills.
Dragonfli Group is a cybersecurity and IT consulting firm providing services to federal agencies and Fortune 100 enterprises. Headquartered in Washington, DC, Dragonfli supports clients in securing mission-critical systems across on-site, hybrid, and fully remote environments.
Dragonfli Group seeks a Data Scientist with 3+ years of experience as a data engineer or data analyst. This role involves architecting and engineering Machine Learning/AI-based solutions to address large-scale enterprise problems related to anomaly detection, entity behavior evaluation, and data quality improvement.
This is a multi-year contract position involving a large US federal agency. Candidates with previous federal contracting experience are preferred. U.S. Citizenship or Permanent Residency required. If hired, all work related to this role must be performed within the continental U.S.
Responsibilities:
• Analyze data related to fraud resulting from identity verification and validation challenges.
• Support existing teams in solving enterprise-level problems.
• Architect and engineer Machine Learning/AI solutions for anomaly detection and entity behavior evaluation.
• Improve data quality through advanced data modeling.
• Implement Extract, Transform, Load (ETL) technologies.
• Work with highly structured data.
• Utilize data platforms and analytics tools such as Databricks and Zingg.
• Develop data visualization packages.
• Communicate and collaborate with multiple functional groups.
Requirements:
• 3+ years of experience as a data engineer or data analyst.
• 3+ years of experience with Machine Learning/AI-based solutions.
• Experience with data platforms and analytics tools (Databricks and Zingg).
• Proficiency in NoSQL, R, or Python and Spark.
• Experience with advanced data modeling and entity resolution.
• Experience implementing ETL technologies.
• Ability to work with highly structured data.
• Strong communication and collaboration skills.
Skills:
• Expertise in data analysis and fraud detection.
• Proficiency in Machine Learning/AI technologies.
• Advanced data modeling capabilities.
• Experience with data visualization.
• Strong problem-solving skills.
• Ability to work collaboratively in a team environment.
• Proficiency in data platforms and analytics tools.
• Excellent communication skills.
