Senior Data Scientist
Job Description
Key Skills Required
Master these to land this role
Want to know if you're a match for this job?
We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.
Responsibilities:
- 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, ensuring their 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 ensure we leverage state-of-the-art methods.
- Communicate findings and recommendations effectively to both technical and non-technical audiences.
Required Qualifications:
- Advanced degree in a quantitative field (e.g., 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, PyTorch).
- Experience working with cloud-based data pipelines (AWS, GCP, or similar).
- Solid understanding of ML algorithms, evaluation metrics, and model deployment.
- Effective communicator and team player with a passion for solving hard problems.
- Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
- Prior exposure and interest in LLMs is a plus.
- Working knowledge of Scala is a plus.
SecurityScorecard is an industry-leading cybersecurity company backed by Google, Sequoia, and Riverwood. Our mission is to make the world a safer place. We measure your and your vendors' cyber-health by assigning a security rating of "A" through "F" based on outside-in, non-intrusive data. Our comprehensive security ratings, advanced data analytics, and actionable insights discover third-party vulnerabilities and security gaps in real-time.
Benefits:
Specific to each country, we offer a competitive salary, stock options, health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!
How would you rate this job post?
See what other professionals think about this role.
Similar Opportunities
More Openings at Securityscorecard
Explore Top Companies in this Space
Cloudsek
Cybersecurity
Censys
Cybersecurity / Attack Surface Management / Threat Intelligence / SaaS
Cloudlinux
Cloud Computing, Cybersecurity, Software
Fable Security
Cybersecurity / Human Risk Management / AI SaaS
Securityscorecard
View Company ProfileSecurityScorecard is a leading cybersecurity firm that specializes in security ratings and vulnerability assessment. The company provides a comprehensive platform that enables businesses to assess and mitigate potential security threats in real-time. By continuously monitoring and evaluating the security posture of organizations, SecurityScorecard offers actionable insights and recommendations to improve overall security and reduce the risk of cyber attacks. With its cutting-edge technology and expertise, SecurityScorecard has become a trusted partner for companies across various industries, helping them to protect their sensitive data and maintain the trust of their customers. The company's innovative approach to security ratings and threat intelligence has made it a pioneer in the cybersecurity landscape.
Safety First
- Never pay for a job application.
- Do not share sensitive bank info.
- Verify the client before starting work.


