Data Scientist, Cybersecurity

Ladders; United States; On-site; USD 135,000 - 160,000; Full time

Benefits offered by this job

Collaborative environment

High-ownership

Cross-functional teamwork

Impactful work

Job summary

Ladders is seeking a Data Scientist, Cybersecurity to join a leader in the Information Technology space. You will build data-driven approaches to measure security effectiveness, identify anomalous behavior, and improve decision-making across emerging AI-related security challenges.

This remote US-based role offers high ownership and direct impact on security outcomes and product value. You will partner with engineering and product teams to shape evaluation frameworks, instrumentation, and

Qualifications

• 5+ years in data science or analytics solving complex problems.
• Experience in cybersecurity, fraud prevention, or privacy.
• Proficient in SQL and Python with large datasets.
• Ability to define metrics and evaluation frameworks.
• Strong experimental design and analysis judgment.
• Collaborates with engineers and product teams.

Responsibilities

• Define metrics to measure AI-agent security and control effectiveness.
• Quantify costs and friction of safeguards.
• Collaborate to strengthen data foundations and instrumentation.
• Identify anomalous behaviors and risky access patterns.
• Shape AI-driven cybersecurity products with engineering and product teams.
• Establish evaluation systems linking findings to outcomes.
• Measure end-to-end security issue resolution workflow.
• Design robust experiments for new security models.

Skills

Data science experience

SQL & Python

Cybersecurity context

Metrics & evaluation

Cross-functional collaboration

Independent work

Job description

For our client, we are seeking a Data Scientist, Cybersecurity to join the team of a leader in the Information Technology space. This role will focus on building data-driven approaches to measure security effectiveness, identify anomalous behavior, and improve decision-making across emerging AI-related security challenges. You will partner closely with engineering and product teams to shape evaluation frameworks, instrumentation, and safeguards that reduce risk while preserving operational efficiency. The position offers a high-ownership opportunity to help define a new analytical discipline in a fast-moving environment, with direct impact on security outcomes and product value. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $135,000 – $160,000 annually

Responsibilities

• Define metrics for measuring AI-agent security and evaluate the effectiveness of security controls
• Quantify operational costs and effectiveness of security safeguards to reduce unnecessary friction
• Collaborate with teams to strengthen data foundations and improve instrumentation for security decisions
• Identify anomalous behaviors and risky access patterns to improve detection and response times
• Partner with engineering and product teams to shape AI-driven cybersecurity products
• Establish evaluation systems for security findings and connect them to practical outcomes
• Measure the full workflow in security issue resolution to improve product value
• Design robust experimental strategies to test new security models and workflows

Qualifications

• 5+ years of experience in data science, analytics, or related quantitative fields solving complex problems
• Experience in cybersecurity, fraud prevention, privacy, or another field involving adversarial behavior
• Proficiency in SQL and Python, with the ability to work with complex and incomplete datasets
• Skill in defining metrics and evaluation frameworks when ground truth is limited
• Strong judgment in experimentation and analysis techniques
• Proven collaboration skills with engineers, product managers, and other cross-functional partners
• Ability to operate independently and define a structured roadmap in a new domain

Benefits

• Collaborative environment focused on innovative AI solutions
• High-ownership role with opportunities to shape new analytical disciplines
• Cross-functional teamwork with varied departments
• Potential to impact real-world cybersecurity challenges effectively

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.