Data Scientist Senior-(H/F)

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, Google Ventures, and Riverwood Capital.

We are looking for a talented and driven Senior Data Scientist to join our fast-moving, growing Data Science team leveraging our vast and unique cybersecurity data assets. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced machine learning models that drive insights and enhance our cybersecurity platform. Build, evaluate, and deploy machine learning models for cybersecurity risk scoring, threat intelligence, and vendor risk assessment.
Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
Contribute to code reviews, design discussions, and data science best practices.
Communicate findings and recommendations effectively to both technical and non-technical audiences.

Advanced degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.

• 5+ years of experience applying data science and machine learning to real-world challenges.
• Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow, Databricks).
• Experience working with cloud-based data pipelines (AWS, GCP, or similar).
• Solid understanding of ML algorithms, evaluation metrics, and model deployment.
• Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
• Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $170,000 - $205,000 USD (base plus bonus). In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact View email address on ca.snapjobsearch.com information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.
Please note that we do not provide immigration sponsorship for this position.