Senior Data Scientist

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.