Senior Data Scientist

SecurityScorecard
Brazil
Workplace: RemoteFull timeUSD 100,000 - 125,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Communication","Teamwork","Problem-solving"]

Develop and deploy advanced machine learning models that power risk scoring, threat intelligence, and vendor risk assessment for the cybersecurity ratings platform. Perform exploratory data analysis to uncover patterns and anomalies, evaluate models for accuracy and scalability, and integrate requirements with product managers and engineers. Contribute to reviews and best practices while communicating results to technical and non-technical stakeholders.

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SecurityScorecard
SecurityScorecard
1 day ago

Senior Data Scientist

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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 the cybersecurity ratings platform. Perform exploratory data analysis to uncover patterns and anomalies, evaluate models for accuracy and scalability, and integrate requirements with product managers and engineers. Contribute to reviews and best practices while communicating results to technical and non-technical stakeholders.
Location: Brazil
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.
  • •Perform 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.
  • •Communicate findings and recommendations effectively to technical and non-technical audiences.

Pay and Benefits

Salary: USD 100,000 - 125,000 annually
Equity and Bonus:Equity
Perks:Health InsurancePaid 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 of experience 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.
  • •Effective communication skills and collaboration mindset; cybersecurity, threat intelligence, or risk scoring experience is a plus.
Experience:5+ yearsCybersecurityThreat intelligenceRisk scoringMachine learningData science
Education:Master's in quantitative field (e.g., Computer Science, Statistics, Mathematics)
Skills:CommunicationTeamworkProblem-solving
Languages:English
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