Data Scientist
Invisible Technologies
AWSCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSpark
Behavioral Data Scientist (Hybrid)
A.C.Coy Company
contract
Posted on:
Location: North Carolina • 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
AWSCloudCyber SecurityJavaPythonPyTorchSQLTableauTensorflow
About the role
- Play a crucial role in ensuring the ethical, responsible, and compliant development and deployment of AI systems, particularly those that impact human behavior.
- Use Artificial Intelligence (AI) and Machine Learning (ML) to analyze user and entity behavior within a network to identify and mitigate cyber threats.
- Design and implement behavioral analytics models to surface anomalies and indicators of insider risk across multiple structured and unstructured data sources.
- Develop and refine risk scoring algorithms which prioritize users or events based on observed patterns, contextual risk factors, and deviations from baselines.
- Integrate and transform data from tools, systems, and logs to create unified risk models which support investigative workflows.
- Analyze data to identify patterns, develop theories and models to explain behavior, and design interventions to promote positive change.
- Identify unusual employee or contractor activity that could indicate malicious intent.
- Gather and prepare diverse behavioral datasets, ensuring accuracy and completeness from sources like website interactions, app usage, customer feedback, and other digital channels.
- Conduct exploratory data analysis to identify behavioral trends and precursors which correlate with increased risk profiles.
- Apply statistical modeling, machine learning, and data fusion techniques to diverse cybersecurity and organizational data.
- Create reports, dashboards, and visualizations to clearly communicate findings and insights to stakeholders, including non-technical audiences.
- Evaluate programs, disseminating findings, consulting and collaborating with others, and adhering to ethical standards.
- Enhance IRO’s ability to surface anomalies, prioritize potential risks/threats, and provide decision support.
Requirements
- Bachelor's Degree in Computer Science, Information Technology or Information Security.
- Master's Degree preferred.
- 8+ years of IT-related experience.
- Experience in Risk Management, Compliance, or a related field, with specific experience in AI or Machine Learning.
- 3+ years of experience in AI concepts and technologies. This includes familiarity with Machine Learning algorithms, data processing, and AI system design.
- 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.
- Proficiency in relevant tools.
- Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms (like AWS), and programming languages (like Python) can be highly beneficial.
- Strong analytical and communication skills are vital to effectively navigate the complexities of the AI evolving field.
- Proficiency in languages like Java, C++, Python, and SQL.
- Strong statistical and analytical foundation, including knowledge of anomaly detection, time-series analysis, and clustering techniques.
- Knowledge & experience with API development and automation
- Familiarity with cybersecurity data sources and insider threat indicators, especially UEBA, DLP, system logs, and identity data.
- Familiarity with Data visualization skills using tools like Tableau, Power BI, or Ploy for communicating insights to non-technical stakeholders.
- Certifications focused on AI security, governance, and development are a plus.
- Excellent communication skills.
- Must be eligible to obtain Public Trust clearance.
- All candidates must be US Citizen or have permanent residence status (Green Card).
- Candidate must have lived in the United States for the past 5 years.
- Cannot have more than 6 months travel outside the United States within the last 5 years.
- Military Service excluded.
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