Senior Data Scientist

SecurityScorecard
Canada
Workplace: RemoteFull timeUSD 150,000 - 175,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Communication","Team player","Problem-solving","Collaboration"]

Develop and deploy advanced machine learning models that power risk scoring, threat intelligence, and vendor risk assessment for a leading cybersecurity ratings platform. Perform exploratory data analysis on large, complex datasets, validate model accuracy and scalability, and integrate models into production systems. Partner with product managers and engineers, contribute to code reviews and best practices, and clearly communicate findings to technical and non-technical audiences.

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SecurityScorecard
SecurityScorecard
1 day ago

Senior Data Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Develop and deploy advanced machine learning models that power risk scoring, threat intelligence, and vendor risk assessment for a leading cybersecurity ratings platform. Perform exploratory data analysis on large, complex datasets, validate model accuracy and scalability, and integrate models into production systems. Partner with product managers and engineers, contribute to code reviews and best practices, and clearly communicate findings to technical and non-technical audiences.
Location: Canada
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
  • •Conduct exploratory data analysis to identify patterns, trends, and anomalies in large, complex datasets.
  • •Evaluate and validate models to ensure 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 and design discussions, and communicate findings and recommendations effectively to technical and non-technical audiences.

Pay and Benefits

Salary: USD 150,000 - 175,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceEquityPaid LeaveParental Leave

Key Requirements

  • •Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
  • •5+ years applying data science and machine learning to real-world challenges.
  • •Proficiency in Python and ML/data science frameworks such as scikit-learn, XGBoost, MLFlow, and PyTorch.
  • •Experience with cloud-based data pipelines (AWS, GCP, or similar) and solid understanding of ML algorithms, evaluation metrics, and model deployment.
  • •Ability to communicate effectively with technical and non-technical audiences; prior cybersecurity, threat intelligence, or risk scoring experience is a plus.
Experience:5+ yearsCybersecurityThreat intelligenceRisk scoring
Education:Master's
Skills:CommunicationTeam playerProblem-solvingCollaboration
Tech Stack:PythonScikit-learnXGBoostMLFlowPyTorchAWSGCPScalaLLMs

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

SecurityScorecard
Provides a cybersecurity ratings platform that continuously assesses and monitors organizations' and third-party vendors' security posture using external data and analytics to help enterprises manage risk, prioritize remediation, and inform vendor risk decisions.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: New York, United States
Founded: 2013
WebsiteLinkedIn