AI Engineer Data Scientist (NLP & Cybersecurity) (McLean)

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Job Summary:

EnDyna Inc is seeking an AI Engineer Data Scientist with expertise in Natural Language Processing (NLP) and data engineering within the cybersecurity domain. The role involves developing machine learning models and data pipelines to process and analyze large-scale cybersecurity-related text data, while collaborating with cybersecurity analysts to enhance security workflows.

Responsibilities:

Design, develop, and deploy NLP pipelines for extracting, processing, and analyzing large-scale cybersecurity-related text data (e.g., threat reports, logs, vulnerability disclosures).

Build and optimize predictive models to identify, classify, and forecast cybersecurity risks and trends.

Implement advanced algorithms such as named entity recognition (NER), topic modeling, sentiment analysis, and text summarization.

Develop data ingestion and transformation workflows from multiple structured and unstructured data sources.

Design and maintain scalable data pipelines and data lakes to support analytics and model training.

Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and actionable insights.

Perform feature engineering to enhance model accuracy and relevance.

Leverage NLP and AI to detect, analyze, and predict cyber threats, vulnerabilities, and attack patterns.

Collaborate with cybersecurity analysts to validate model outputs and integrate AI-driven insights into security workflows.

Create interactive dashboards and visualizations (Power BI, Tableau, or similar) to communicate findings to technical and non-technical stakeholders.

Prepare and present analytical reports summarizing methods, findings, and recommendations.

Qualifications:

Required:

Bachelors or Masters degree in Artificial Intelligence, Data Science, Computer Science, or related field.

Strong proficiency in Python and libraries such as spaCy, NLTK, Hugging Face Transformers, TensorFlow, or PyTorch.

8-10 years of experience building, training, and deploying NLP models in production environments.

Strong knowledge of data engineering concepts: ETL processes, SQL/NoSQL databases, and data pipeline tools (e.g., Apache Spark, Airflow).

Solid understanding of machine learning methods and predictive modeling.

Excellent analytical, problem-solving, and communication skills.

Need to be a US citizen.

Preferred:

Experience working with cybersecurity datasets (e.g., CVE data, threat intelligence feeds, log analysis).

Familiarity with cybersecurity frameworks (e.g., MITRE ATT&CK, NIST).

Experience with cloud platforms (AWS, Azure, or GCP).

Familiarity with containerization (Docker) and CI/CD for ML deployment.

Company:

EnDyna provides innovative solutions to government agencies, backed by our strong commitment to quality. EnDynas mission is to support U.S. Founded in 2001, headquartered in McLean, Virginia, US, team size 51-200 employees, currently Growth Stage.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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