Vulnerability Data Scientist Job at ClearBridge Technology Group (Reston)

Data Scientist 3

We are seeking a Data Scientist with a strong background in Python for automatio...

Location

United States , Central Maryland

Salary:

161000.00 - 211000.00 USD / Year

RealmOne

Expiration Date

Until further notice

Requirements

Bachelor’s Degree with 10 years of relevant experience, associate’s degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence)
Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
Experience with Python, SharePoint, and dataflows
Position requires active Security Clearance with appropriate Polygraph

Job Responsibility

Building out a framework to examine existing vulnerability policies and improve them
Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences

What we offer

Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
Tax-advantaged health savings account available with generous employer contribution
Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
Retirement + Savings: 401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
Paid Time Off + More: 4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
Career Growth + Development: Access to FREE 24/7 learning via Udemy – Opportunities to participate in tech councils, industry initiatives, etc. – $7,500 annual Educational & Professional Development Assistance
Paid parental leave
Annual swag drops
Flexible work schedules
Generous referral bonus program

Fulltime

Data Scientist 3

Join us on this journey as we execute this mission-critical contract providing h...

Location

United States , Central Maryland

Salary:

161000.00 - 211000.00 USD / Year

RealmOne

Expiration Date

Until further notice

Requirements

Bachelor’s Degree with 10 years of relevant experience, associate’s degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence)
Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
Experience with Python, SharePoint, and dataflows
Position requires active Security Clearance with appropriate Polygraph

Job Responsibility

Building out a framework to examine existing vulnerability policies and improve them
Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences

What we offer

Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
Tax-advantaged health savings account available with generous employer contribution
Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
Retirement + Savings: 401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
Paid Time Off + More: 4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
Career Growth + Development: Access to FREE 24/7 learning via Udemy – Opportunities to participate in tech councils, industry initiatives, etc. – $7,500 annual Educational & Professional Development Assistance
Paid parental leave
Annual swag drops
Flexible work schedules
Generous referral bonus program

Fulltime

Ai Security Architect

Location

United Kingdom , London; Birmingham

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

20+ years of experience in cybersecurity, with at least 3+ years in AI/ML security or data security
Proven experience designing secure architectures for AI/ML systems
Strong knowledge of: Machine learning frameworks (TensorFlow, PyTorch, etc.)
Cloud platforms (Azure, AWS, GCP) and AI services
Identity & access management, encryption, and network security
Experience in threat modeling and risk assessment methodologies
Bachelor’s or Master’s degree in Computer Science, Cybersecurity, AI/ML, or related field.

Job Responsibility

Define and lead the AI security architecture roadmap aligned to enterprise security strategy
Develop secure-by-design frameworks for AI/ML pipelines, including data ingestion, training, inference, and deployment
Establish AI trust, risk, and compliance controls (e.g., explainability, fairness, robustness)
Conduct threat modelling for AI systems, identifying vulnerabilities such as: Adversarial attacks (evasion, poisoning), Model inversion and extraction, Data leakage and privacy risks
Define and implement risk mitigation strategies and controls
Perform AI security risk assessments and integrate findings into governance processes
Integrate security into ML pipelines (MLSecOps) including CI/CD and MLOps frameworks
Define controls for: Secure dataset handling and lineage, Model versioning and integrity validation, Access control and secrets management
Embed automated security testing into model development pipelines
Ensure compliance with data protection regulations (e.g., GDPR, HIPAA where applicable)

What we offer

We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing
Our Learning and Development team ensure that there are continuous growth and development opportunities for our people
We also offer the opportunity to have flexible work options.

Principal Consultant, AI Assessments, Proactive Services (Unit 42)

Location

Canada , Toronto

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Information Security, Computer Science, Digital Forensics, Cyber Security or equivalent years of professional experience to meet job requirements and expectations
6-9+ years of experience performing information security and risk assessments based upon industry-accepted standards.
Experience with GRC tools, technology, and implementation
Experience with security assessments/audits, drafting findings and recommendations, and prioritizing recommendations via quantitative risk scoring
Experience with securing AI systems within cloud environments (e.g., AWS, Azure, Google Cloud).
Experience with the lifecycle management of AI/ML models, including development, deployment, monitoring, and maintenance.

Job Responsibility

Conduct comprehensive security assessments of AI systems and tools using frameworks such as: MITRE ATLAS for adversarial tactics and techniques.
OWASP Top 10 for LLMs to identify vulnerabilities in AI/ML models.
NIST AI Risk Management Framework (AI RMF) for risk analysis and mitigation.
Analyze model architectures, training data pipelines, and deployment environments to identify potential security gaps and vulnerabilities.
Provide expert guidance on securing AI systems, including: Adversarial ML defenses.
Data poisoning prevention.
Privacy-preserving AI techniques (e.g., differential privacy).
Evaluate compliance with regulatory requirements and standards (e.g., GDPR, HIPAA, or emerging AI-specific regulations).
Collaborate with the client’s cross-functional teams, conducting stakeholder interviews, interactive workshops, and meetings with technical teams (data scientists, developers, DevOps engineers) and leadership teams to ensure a thorough understanding of system architecture, security requirements, and business objectives for the assessment.
Stay up-to-date on the evolving threat landscape in AI and contribute to the development of innovative security solutions.Assisting Unit 42 Consulting Leadership in the development of Risk Management, Compliance, and Security standards within professional services

Lead Machine Learning Engineer (Manager IC)

Lead Machine Learning Engineer (Manager IC) at Capital One. In Risk Tech, you wi...

Location

United States , Cambridge, Massachusetts; Richmond, Virginia; McLean, Virginia

Salary:

179400.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Job Responsibility

Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components utilizing machine learning models
Fine-tune, develop and evaluate machine learning and foundation models
Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities
Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One
Leverage a broad stack of Open Source and SaaS AI technologies
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues
Retrain, maintain, and monitor models in production
Construct optimized data pipelines to feed ML models
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed, and the ML follows best practices in Responsible and Explainable AI

What we offer

Performance based incentive compensation including cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits that support your total well-being

Fulltime

Lead Machine Learning Engineer

Lead Machine Learning Engineer At Capital One, we are changing banking for good...

Location

United States , Cambridge, Massachusetts; Richmond, Virginia; McLean, Virginia

Salary:

197300.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Job Responsibility

Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers
Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI
Fine-tune, develop and evaluate machine learning and foundation models
Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities
Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One
Leverage a broad stack of Open Source and SaaS AI technologies
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues
Retrain, maintain, and monitor models in production
Construct optimized data pipelines to feed ML models
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI

What we offer

Performance based incentive compensation
cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Lead Machine Learning Engineer (Manager IC)

Lead Machine Learning Engineer (Manager IC) at Capital One. In Risk Tech, you wi...

Location

United States , McLean; Richmond; Cambridge

Salary:

179400.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Job Responsibility

Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers
Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI
Fine-tune, develop and evaluate machine learning and foundation models
Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities
Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One
Leverage a broad stack of Open Source and SaaS AI technologies
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues
Retrain, maintain, and monitor models in production
Construct optimized data pipelines to feed ML models
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Principal Applied Scientist

As the advertising ecosystem expands, sophisticated adversarial actors are lever...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD degree in Computer Science, Cybersecurity, Mathematics, or a related field, with 10+ years of related experience
Deep technical expertise in Cybersecurity, Anti-Abuse, or Adversarial Machine Learning
Strong programming skills in C++ or Python (at least one is required), with experience in building production-quality security or ML systems
Hands-on experience in one or more of the following: Web Security standards and Authentication Protocols (OAuth, OIDC), Malware analysis, de-obfuscation, or reverse engineering, Building fraud detection models at scale
Proven ability to design and implement defense mechanisms against complex abuse vectors (e.g., botnets, synthetic identity, evasion/cloaking)
Strong communication and collaboration skills, with experience articulating complex security risks to business and product leadership

Job Responsibility

Strategic Threat Modeling: Develop and maintain comprehensive adversarial frameworks to map the lifecycle of emerging threats, from account compromise (ATO) to malicious payload delivery
Evolution of Advertiser Trust: Advance the continuous, signal-based security protocol. Research and implement behavioral biometrics and Proof of Liveness models to detect synthetic identities and coordinated fraud rings
Adversarial Research: Proactively identify 'unknown unknown' vulnerabilities through red-teaming and exploratory data analysis, developing models to predict attacker behavior before widespread exploitation
Technical Leadership: Drive the technical roadmap for integrity and security, mentoring senior engineers and influencing cross-functional stakeholders on security investment priorities

Fulltime

Select Country

Vulnerability Data Scientist

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?