[Remote] Staff AI Data Scientist- Remote

Note: The job is a remote job and is open to candidates in USA. BeyondTrust is a global leader in identity security, committed to 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, collaborating with various teams to turn raw 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

Company Overview

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