Behavioral Data Scientist (no C2C Candidates Please)

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 19, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Washington DC-Baltimore Area
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🧠 - 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 IRO’s ability to surface anomalies, prioritize potential risks/threats, and provide decision support. QUALIFICATIONS: β€’ Bachelor’s Degree in Computer Science, Information Technology or Information Security Master’s 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.