Senior Data Scientist

SecurityScorecard
Argentina
Workplace: RemoteFull timeUSD 80,000 - 100,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Communication","Collaboration","Problem-solving","Teamwork"]

Develop and deploy advanced analytical and machine learning models that power risk scoring, threat intelligence, and vendor risk assessment for the cybersecurity ratings platform. Perform exploratory data analysis on large datasets to uncover patterns, trends, and anomalies, then validate models for accuracy, robustness, and scalability. Partner with product managers and engineers to define data science requirements and integrate models into production systems, while communicating insights clearly to technical and non-technical audiences.

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FursaFursa
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 analytical and machine learning models that power risk scoring, threat intelligence, and vendor risk assessment for the cybersecurity ratings platform. Perform exploratory data analysis on large datasets to uncover patterns, trends, and anomalies, then validate models for accuracy, robustness, and scalability. Partner with product managers and engineers to define data science requirements and integrate models into production systems, while communicating insights clearly to technical and non-technical audiences.
Location: Argentina
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.
  • •Contribute to code reviews and design discussions, stay current on new research and technologies, and communicate findings effectively.

Pay and Benefits

Salary: USD 80,000 - 100,000 annually
Equity and Bonus:Equity
Perks:EquityHealth InsurancePaid LeaveParental Leave

Key Requirements

  • •5+ years of experience applying data science and machine learning to real-world challenges.
  • •Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience.
  • •Proficiency in Python and ML/data science frameworks such as scikit-learn, XGBoost, MLFlow, and PyTorch.
  • •Experience working with cloud-based data pipelines (AWS, GCP, or similar) and strong understanding of ML algorithms, evaluation metrics, and model deployment.
  • •Effective communication skills and ability to collaborate as a team player; prior cybersecurity/threat intelligence/risk scoring exposure is a plus.
Experience:5+ yearsCybersecurityThreat intelligenceRisk scoringVendor risk assessment
Education:Master's in Computer Science, Statistics, or Mathematics
Skills:CommunicationCollaborationProblem-solvingTeamwork
Tech Stack:PythonScikit-learnXGBoostMLFlowPyTorchAWSGCPScala

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