

Behavioral Data Scientist (no C2C Candidates Please)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Behavioral Data Scientist, hybrid contract-to-hire, located in "Falls Church, VA," "Morrisville, NC," or "Eagan, MN." Requires 8+ years IT experience, AI/ML expertise, and US citizenship. Expected duration is over 6 months.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 19, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
-
π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Washington DC-Baltimore Area
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π§ - Skills detailed
#Security #C++ #AI (Artificial Intelligence) #Programming #Data Science #Visualization #Tableau #Consulting #BI (Business Intelligence) #AWS (Amazon Web Services) #Microsoft Power BI #API (Application Programming Interface) #TensorFlow #Clustering #PyTorch #Compliance #Anomaly Detection #Data Processing #Datasets #Deployment #Automation #ML (Machine Learning) #Computer Science #Java #Cloud #Python #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Cybersecurity #Data Analysis
Role description
Please note that all applicants must be US Citizens or Green Card holders and no C2C candidates will be accepted.
SUMMARY:
β’ Tier One Technologies is looking for a Behavioral Data Scientist to support our direct US Government client.
β’ This hybrid contract-to-hire position can be located in Falls Church, VA, Morrisville, NC or Eagan, MN.
β’ SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.
RESPONSIBILITIES:
β’ Play a crucial role in ensuring the ethical, responsible, and compliant development and deployment of AI systems, particularly those that impact human behavior.
β’ Use Artificial Intelligence (AI) and Machine Learning (ML) to analyze user and entity behavior within a network to identify and mitigate cyber threats.
β’ Design and implement behavioral analytics models to surface anomalies and indicators of insider risk across multiple structured and unstructured data sources.
β’ Develop and refine risk scoring algorithms which prioritize users or events based on observed patterns, contextual risk factors, and deviations from baselines.
β’ Integrate and transform data from tools, systems, and logs to create unified risk models which support investigative workflows.
β’ Analyze data to identify patterns, develop theories and models to explain behavior, and design interventions to promote positive change.
β’ Identify unusual employee or contractor activity that could indicate malicious intent.
β’ Gather and prepare diverse behavioral datasets, ensuring accuracy and completeness from sources like website interactions, app usage, customer feedback, and other digital channels.
β’ Conduct exploratory data analysis to identify behavioral trends and precursors which correlate with increased risk profiles.
β’ Apply statistical modeling, machine learning, and data fusion techniques to diverse cybersecurity and organizational data.
β’ Create reports, dashboards, and visualizations to clearly communicate findings and insights to stakeholders, including non-technical audiences.
β’ Evaluate programs, disseminating findings, consulting and collaborating with others, and adhering to ethical standards.
β’ Enhance IROβs ability to surface anomalies, prioritize potential risks/threats, and provide decision support.
QUALIFICATIONS:
β’ Bachelorβs Degree in Computer Science, Information Technology or Information Security Masterβs Degree preferred.
β’ 8+ years of IT-related experience.
β’ Experience in Risk Management, Compliance, or a related field, with specific experience in AI or Machine Learning.
β’ 3+ years of experience in AI concepts and technologies. This includes familiarity with Machine Learning algorithms, data processing, and AI system design.
β’ Strong analytical and problem-solving abilities. The ability to identify and assess potential behavioral risks in AI systems, analyze data, and develop effective mitigation strategies is crucial.
β’ Proficiency in relevant tools. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms (like AWS), and programming languages (like Python) can be highly beneficial.
β’ Strong analytical and communication skills are vital to effectively navigate the complexities of the AI evolving field.
β’ Proficiency in languages like Java, C++, Python, and SQL.
β’ Strong statistical and analytical foundation, including knowledge of anomaly detection, time-series analysis, and clustering techniques.
β’ Knowledge & experience with API development and automation
β’ Familiarity with cybersecurity data sources and insider threat indicators, especially UEBA, DLP, system logs, and identity data.
β’ Familiarity with Data visualization skills using tools like Tableau, Power BI, or Ploy for communicating insights to non-technical stakeholders.
β’ Certifications focused on AI security, governance, and development are a plus.
β’ Excellent communication skills.
β’ Must be eligible to obtain Public Trust clearance.
β’ All candidates must be US Citizen or have permanent residence status (Green Card).
β’ Candidate must have lived in the United States for the past 5 years.
β’ Cannot have more than 6 months travel outside the United States within the last 5 years. Military Service excluded.
Please note that all applicants must be US Citizens or Green Card holders and no C2C candidates will be accepted.
SUMMARY:
β’ Tier One Technologies is looking for a Behavioral Data Scientist to support our direct US Government client.
β’ This hybrid contract-to-hire position can be located in Falls Church, VA, Morrisville, NC or Eagan, MN.
β’ SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.
RESPONSIBILITIES:
β’ Play a crucial role in ensuring the ethical, responsible, and compliant development and deployment of AI systems, particularly those that impact human behavior.
β’ Use Artificial Intelligence (AI) and Machine Learning (ML) to analyze user and entity behavior within a network to identify and mitigate cyber threats.
β’ Design and implement behavioral analytics models to surface anomalies and indicators of insider risk across multiple structured and unstructured data sources.
β’ Develop and refine risk scoring algorithms which prioritize users or events based on observed patterns, contextual risk factors, and deviations from baselines.
β’ Integrate and transform data from tools, systems, and logs to create unified risk models which support investigative workflows.
β’ Analyze data to identify patterns, develop theories and models to explain behavior, and design interventions to promote positive change.
β’ Identify unusual employee or contractor activity that could indicate malicious intent.
β’ Gather and prepare diverse behavioral datasets, ensuring accuracy and completeness from sources like website interactions, app usage, customer feedback, and other digital channels.
β’ Conduct exploratory data analysis to identify behavioral trends and precursors which correlate with increased risk profiles.
β’ Apply statistical modeling, machine learning, and data fusion techniques to diverse cybersecurity and organizational data.
β’ Create reports, dashboards, and visualizations to clearly communicate findings and insights to stakeholders, including non-technical audiences.
β’ Evaluate programs, disseminating findings, consulting and collaborating with others, and adhering to ethical standards.
β’ Enhance IROβs ability to surface anomalies, prioritize potential risks/threats, and provide decision support.
QUALIFICATIONS:
β’ Bachelorβs Degree in Computer Science, Information Technology or Information Security Masterβs Degree preferred.
β’ 8+ years of IT-related experience.
β’ Experience in Risk Management, Compliance, or a related field, with specific experience in AI or Machine Learning.
β’ 3+ years of experience in AI concepts and technologies. This includes familiarity with Machine Learning algorithms, data processing, and AI system design.
β’ Strong analytical and problem-solving abilities. The ability to identify and assess potential behavioral risks in AI systems, analyze data, and develop effective mitigation strategies is crucial.
β’ Proficiency in relevant tools. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms (like AWS), and programming languages (like Python) can be highly beneficial.
β’ Strong analytical and communication skills are vital to effectively navigate the complexities of the AI evolving field.
β’ Proficiency in languages like Java, C++, Python, and SQL.
β’ Strong statistical and analytical foundation, including knowledge of anomaly detection, time-series analysis, and clustering techniques.
β’ Knowledge & experience with API development and automation
β’ Familiarity with cybersecurity data sources and insider threat indicators, especially UEBA, DLP, system logs, and identity data.
β’ Familiarity with Data visualization skills using tools like Tableau, Power BI, or Ploy for communicating insights to non-technical stakeholders.
β’ Certifications focused on AI security, governance, and development are a plus.
β’ Excellent communication skills.
β’ Must be eligible to obtain Public Trust clearance.
β’ All candidates must be US Citizen or have permanent residence status (Green Card).
β’ Candidate must have lived in the United States for the past 5 years.
β’ Cannot have more than 6 months travel outside the United States within the last 5 years. Military Service excluded.