Senior Data Scientist

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SecurityScorecard

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

🛡️ Insurance

💰 $180M Series E on 2021-03

Consulting • Healthcare • Insurance

SecurityScorecard is a company that focuses on cybersecurity and risk management. It provides solutions for supply chain detection and response, third-party cyber risk management, and external attack surface management. By leveraging AI and security ratings, SecurityScorecard helps organizations improve their cybersecurity postures and manage risks effectively. The company's platform allows for monitoring and remediation of vulnerabilities, collaboration with vendors, and compliance with regulatory mandates. SecurityScorecard serves a diverse range of industries, including public sector, technology, healthcare, financial services, and more. Its comprehensive suite of tools and services, such as Security Ratings and MAX, empower organizations to proactively manage cyber risks and enhance their overall security structures.

📋 Description

• Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment • Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets • Evaluate and validate models for accuracy, robustness, and scalability • 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 • Stay current on new research and technologies to leverage state-of-the-art methods • Communicate findings and recommendations to technical and non-technical audiences

🎯 Requirements

• Advanced degree in a quantitative field or equivalent professional experience applying data science to complex problems • 5+ years of experience applying data science and machine learning to real-world challenges • Proficiency in Python and machine learning/data science frameworks such as scikit-learn, XGBoost, MLFlow, and PyTorch • Experience with cloud-based data pipelines, such as AWS or GCP • Solid understanding of machine learning algorithms, evaluation metrics, and model deployment • Prior exposure to cybersecurity, threat intelligence, or risk scoring is a significant plus • Prior exposure to and interest in LLMs is a plus • Working knowledge of Scala is a plus • Effective communication and teamwork • Must not require immigration sponsorship for this position

🏖️ Benefits

• Competitive salary • Stock options • Health benefits • Unlimited PTO • Parental leave • Tuition reimbursements • Annual performance-based incentive compensation awards • Equity • Reasonable accommodations for qualified individuals with disabilities