Cybersecurity AI/ML Lead - Data Scientist

Socket.dev; United States; On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase is seeking a Cybersecurity AI/ML Lead - Data Scientist to advance analytic and machine learning solutions addressing complex cybersecurity and technology risk challenges. You will design auditable, scalable data-driven solutions and contribute as a core technical member of the Cyber Operations teams.

You will apply probabilistic and deep learning methods, build model-ready datasets, and communicate results to technical and business stakeholders.

Qualifications

• 5+ years of experience with formal training or certification in security engineering concepts
• Knowledge of probability, statistics, distributions and their use in cybersecurity or tech risk
• Advanced Python skills and data visualization tools
• Experience leading teams using enterprise-approved AI capabilities
• Ability to review AI-assisted security recommendations before adoption
• Experience using notebooks to analyze data and communicate results
• Knowledge of SDLC, CI/CD, resiliency and secure software delivery
• Knowledge of financial services IT systems

Responsibilities

• Partner with stakeholders to understand security needs and acquire data
• Perform exploratory data analysis on security datasets and communicate findings
• Develop and evaluate ML models for cybersecurity use cases and business outcomes
• Prepare model-ready datasets through feature engineering and data quality assessment
• Lead adoption of enterprise AI capabilities with human-in-the-loop validation
• Establish guardrails for AI workflows with traceability and security standards
• Support model governance by documenting selection, interpretability, and performance
• Design, build, review, and maintain secure production code for ML solutions
• Contribute to security control effectiveness through industry insights and standards
• Promote diversity, equity, inclusion, and respect within the team

Skills

Advanced Python

Pandas

SQL

Data visualization

Jupyter

SageMaker

VS Code

PyTorch

Scikit-Learn

Deep learning

Communicating results

Matplotlib/Seaborn/Plotly

Education

Bachelor's degree in a related field

Applied data science experience

Tools

Jupyter

SageMaker

VS Code

Plotly

PyTorch

Scikit-Learn

Job description

As a Cybersecurity AI/ML Lead - Data Scientist - Data Scientist at JPMorgan Chase within the Cybersecurity & Technology Controls, you will be an integral part of a team that develops advanced analytical and machine learning solutions to address complex cybersecurity and technology risk challenges. As a core technical contributor, you will help design and deliver scalable, auditable, and data-driven solutions that support our Cyber Operations teams.

You'll be conducting data analysis, statistical modeling, machine learning, and deep learning techniques to solve cybersecurity and technology risk problems. You will be able to prepare and analyze complex datasets, develop and evaluate models, and communicate findings clearly to technical and business stakeholders. You'll understand when Generative AI, transformer architectures, and related techniques are appropriate for applied security use cases.

Job responsibilities

• Partner with stakeholders, business leaders, cybersecurity engineers, and data engineers to understand security needs, define use cases, and acquire the data required to address them.
• Perform exploratory data analysis on security and technology datasets, identify meaningful patterns, and communicate findings to stakeholders.
• Select, develop, and evaluate statistical, machine learning, deep learning models that are appropriate for cybersecurity use cases and business outcomes.
• Prepare model-ready datasets through feature engineering, data quality assessment, and other data preparation techniques.
• Leads reuse-first adoption of enterprise-authorized AI capabilities within the work environment to accelerate data architecture and model analysis and strategic decisioning, with human-in-the-loop validation and appropriate handling of sensitive data.
• Establishes portfolio-level guardrails for AI-assisted and agentic workflows used in data engineering design and delivery, including traceability/auditability and control expectations aligned to resiliency and security standards.
• Support model governance by documenting model selection, interpretability, testability, performance, limitations, and results.
• Design, build, review, debug, and maintain secure, high-quality production code for analytical and machine learning solutions.
• Contribute to security control effectiveness by applying industry insights, internal standards, and regulatory expectations to improve security processes and protocols.
• Add to a team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Obtain 5 plus years of experience with formal training or certification in security engineering concepts
• Working knowledge of probability, statistics, statistical distributions, and their application to cybersecurity or technology risk use cases.
• Advanced Python skills, including Pandas, SQL, and data visualization tools such as Matplotlib, Seaborn, or Plotly.
• Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for security engineering workflows, including validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.
• Experience using notebooks such as Jupyter, SageMaker, or VS Code to analyze data, document methods, and communicate results.
• Working knowledge of Scikit-Learn for classification, regression, and clustering models, plus machine learning or deep learning frameworks such as PyTorch.
• Experience preparing complex datasets for modeling, including data cleaning, feature engineering, and data quality assessment.
• Ability to explain model selection, interpretability, performance metrics, and limitations verbally and in writing.
• Proficiency with Software Development Life Cycle, CI/CD practices, application resiliency, and secure software delivery.
• In-depth knowledge of the financial services industry and related IT systems.

Preferred qualifications, capabilities, and skills

• Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics, Computer Science, or a related field, plus 3+ years of applied data science experience.
• Experience with TCP/IP networking, cybersecurity technologies, and security-related telemetry.
• Experience monitoring models in production and identifying data quality, drift, or performance issues.
• Experience deploying statistical or machine learning models in production environments, including AWS SageMaker.
• Working knowledge of Large Language Models, natural language models, vector embeddings, and responsible AI practices such as fairness, reliability, and safety.

#CTC

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.