Data Scientist

AgileEngine; Town of Poland (NY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Remote work options

Job summary

AgileEngine is seeking a Senior/Lead Data Scientist to build predictive models and analytics for risk-based vulnerability prioritization within a large-scale security program. You will structure massive security telemetry data, develop ML models to reduce noise and false positives, and set up unified dashboards for governance adoption.

Requirements include 5+ years of commercial data science experience, expert Python/R/SQL skills, and experience with TensorFlow or PyTorch, plus data

Qualifications

• 5+ years of commercial data science experience
• Advanced proficiency in Python, R, and SQL
• Experience with TensorFlow or PyTorch
• Experience with data visualization tools
• Commercial experience applying data science to vulnerability management

Responsibilities

• Develop predictive models and analytics to prioritize vulnerabilities by risk and business impact
• Structure and analyze large security telemetry datasets for the ASPM framework
• Create ML algorithms to filter scanning noise and false positives
• Establish dashboards and data delivery structures to drive data-driven security governance

Skills

5+ years experience

Python

R

SQL

TensorFlow

PyTorch

Data visualization

Job description

We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 5+ years of data science experience with direct commercial application to vulnerability management, operating with full autonomy.

What you will do

• Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
• Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
• Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
• Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.

Must haves

• 5+ years of commercial data science experience, operating completely autonomously with no required supervision;
• Advanced proficiency in Python, R, and SQL;
• Experience with machine learning frameworks such as TensorFlow and PyTorch;
• Experience with data visualization tools;
• Commercial experience applying data science to vulnerability management;

Nice to haves

• Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).

Perks and Benefits

• Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

• Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

• A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

• Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.