Senior Data Scientist

### Who you are
- Advanced degree in a quantitative field (e.g., Engineering, 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, Databricks)
- 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

### What the job involves
- We are looking for a talented and driven Senior Data Scientist to join our fast-moving, growing Data Science team leveraging our vast and unique cybersecurity data assets.
- As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced machine learning models that drive insights and enhance our cybersecurity platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products
- Build, evaluate, and deploy machine learning models for cybersecurity 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

### Benefits
- Stock options
- 12 weeks of paid maternity leave / 4 weeks paid paternity leave
- Work from home opportunities
- Medical, dental, and vision coverage
- Unlimited PTO
- 401K
- $3k annual education stipend per employee
- Full access to our learning platform and company professional development events
- Up to $10K referral bonus