Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a member of the Cyber Threat Analytics and Research team, you will leverage cutting-edge technologies to perform statistical profiling, inference, classification, clustering, and predictive analysis. You will implement sophisticated machine learning models to derive insights and defend against cyber-attacks, working with large datasets and cross-functional teams to enhance security capabilities.

Responsibilities

• Analyze cyber event logs using Spark and big data technologies to develop product insights.
• Formulate cyber threat scenarios into technical data problems and develop high-fidelity models.
• Devise and implement deep learning models for user behavior profiling, including data acquisition, feature engineering, and deployment.
• Conduct feature engineering on various data sources to build and enrich feature stores.
• Utilize GenAI to auto-triage anomalous user behavior and create agentic agents for cyber investigation efficiency.
• Collaborate with data scientists and engineers to develop analytical software and services.
• Assist in shaping the direction, lifecycle management, and leadership for Information Security architecture.
• Communicate data insights to technical and non-technical stakeholders.

Requirements

• 2+ years of relevant work experience with a Bachelor’s degree, or 5+ years of relevant work experience.
• Solid background and hands-on experience building machine learning, deep learning, and AI models.
• Experience with Generative AI, LLMs, and AI agents.
• Excellent understanding of algorithms and data structures.
• Proficiency in Python and SQL.
• Experience working with large datasets using Hadoop, Spark, or Hive.
• Strong communication and collaboration skills.
• Demonstrated ability to lead and navigate through ambiguity.
• Ability to travel 5-10% of the time.

Skills

• Machine Learning
• Deep Learning
• Artificial Intelligence
• Generative AI
• LLMs
• Python
• SQL
• Spark
• Hadoop
• Hive
• Big Data Analytics
• Feature Engineering
• Statistical Profiling

Location

• United States

Work Type

• Hybrid
• Full-time

Experience Level

• 2+ years of relevant work experience

Education Level

• Bachelor’s degree
• Advanced degree (Masters, MBA, JD, MD)

Salary/Compensations

• $123,700.00 - $191,300.00 USD per year

Benefits

• Medical
• Dental
• Vision
• 401(k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness Program
• Bonus eligibility
• Equity eligibility

About the Company

• World leader in payments technology.
• Facilitates transactions between consumers, merchants, financial institutions, and government entities across 200+ countries and territories.
• Dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

Equal Opportunity

• Visa is an EEO Employer.
• Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
• Visa considers qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.