Note: The job is a remote job and is open to candidates in USA. BeyondTrust is a global identity security leader focused on creating a safer world through their cyber security SaaS portfolio. The Staff AI Data Scientist will design, build, and deploy machine learning models and AI-driven solutions to solve complex business problems, working closely with various teams to translate data into actionable insights.
Responsibilities
- Develop and deploy machine learning models (supervised, unsupervised, deep learning) for production use cases
- Design experiments, define success metrics, and run rigorous offline and online evaluations (A/B tests, holdouts, causal analyses)
- Fine-tune, prompt-engineer, and evaluate large language models for domain-specific tasks
- Partner with data engineering to define the features, datasets, and pipelines needed for model training and inference
- Collaborate with engineering, product, and business teams to translate ambiguous problems into well-scoped modeling solutions
- Build monitoring and evaluation frameworks to track model performance, drift, and fairness over time
- Communicate findings and recommendations to both technical and non-technical stakeholders through clear visualizations and written reports
- Mentor other data scientists and help raise the bar for modeling rigor across the team
Skills
- Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience)
- 3+ years of hands-on experience building and deploying ML models in production environments
- Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers
- Deep understanding of statistical modeling, experimental design, and evaluation methodology
- Experience with cloud platforms (AWS, GCP, or Azure) for training, serving, and scaling models
- Familiarity with LLM fine-tuning techniques (LoRA, RLHF, instruction tuning) and serving infrastructure
- Experience leveraging AI coding assistants (such as Claude Code, OpenCode, or GitHub Copilot) to accelerate development workflows
- Background in cybersecurity, identity security, or anomaly detection
- Familiarity with adversarial ML or AI safety research
- Contributions to open-source projects or published research
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