Securityscorecard logo
Monthly
€7,234 - €9,043
Posted August 28, 2026 · 1 day agoLast seen August 26, 2026Est. expiry October 2, 2026

Data Scientist

Senior Data Scientist
How this salary compares
Salary Context: Data Scientist

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("All roles in Remote - Brazil"), this listing's salary midpoint is about 68% higher. The offer sits above the benchmark range (€4,000–€7,185). The listed pay band (€8,333–€10,417) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 3 comparable listings.

Monthly salary comparison for Data Scientist
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: Data Scientist€3,250/per month€5,775/per month€8,681/per month
All roles in Remote - Brazil€4,000/per month€4,917/per month€7,185/per month
About the role

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. Benefits: Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more! The estimated total compensation range for this position is $100,000 USD - $125,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

Job Details

Responsibilities

  • Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment
  • Perform exploratory data analysis and identify patterns in large datasets
  • Evaluate and validate models for accuracy and robustness
  • Collaborate with product managers and engineers to define requirements and deploy models to production

Requirements

  • 5+ years of experience applying data science and machine learning to real-world challenges
  • Advanced degree in a quantitative field or equivalent experience
  • Proficient in Python and ML frameworks
  • Experience with cloud-based data pipelines (AWS, GCP)

Skills & Technologies

Pythonscikit-learnXGBoostMLFlowPyTorchAWSGCPScala

Education Level

Masters

Benefits & Perks

Recruitment Process

  1. 1
    Application
  2. 2
    Phone screen
  3. 3
    On-site interview
Seen 2 days agoPartial Schema
Securityscorecard logo
Securityscorecard · 1 open roles
Top locations: Remote - Global · 1
View company
Current open roles at Securityscorecard on JobCrawls
LocationActive listings
Remote - Global1
Current role mix at Securityscorecard on JobCrawls
Role typeActive listings
UX Architect1
Current role-level mix at Securityscorecard on JobCrawls
Role levelActive listings
Senior1

Help us improve JobCrawls — sign in to sync saved jobs across devices, or send feedback anytime.