Master's or PhD in a quantitative field or equivalent experience
3+ years of hands-on experience in production ML model development
Proficient in Python and major ML frameworks
Deep understanding of statistical modeling and experimental design
Experience with cloud platforms for model serving
Familiar with LLM fine-tuning techniques
Utilizes AI coding assistants to enhance development efficiency
Responsibilities
Develop and deploy machine learning models for production
Design experiments and run evaluations to gauge model success
Fine-tune and evaluate large language models for specific tasks
Work with data engineering to establish necessary training data and pipelines
Collaborate across teams to create scoped modeling solutions
Build frameworks to monitor and evaluate model performance
Communicate insights and recommendations through visualizations and reports
Mentor fellow data scientists to promote modeling rigor
Benefits
Opportunity to work at the cutting edge of AI and machine learning
Cross-functional collaboration with engineering, product, and business teams
Ability to mentor and shape junior talent within the organization
Engagement with complex, high-impact business problems
Potential participation in innovative research and open-source contributions
Full Job Description
The Role
We're looking for a Staff AI Data Scientist to design, build, and deploy machine learning models and AI-driven solutions that solve complex business problems. You'll work at the intersection of applied research, software engineering, and product - turning raw data into actionable insights and intelligent systems that ship to production.
What You'll Do
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
What You'll Bring
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
Nice To Have
Background in cybersecurity, identity security, or anomaly detection
Familiarity with adversarial ML or AI safety research
Contributions to open-source projects or published research
About BeyondTrust
BeyondTrust is a cybersecurity company that provides solutions for privileged access management, vulnerability management, and remote access management. The company was founded in 2006 and is headquartered in San Diego, California. BeyondTrust's products are used by organizations in various industries, including finance, healthcare, and government. The company has received numerous awards for its products, including the SC Award for Best Vulnerability Management Solution and the CRN Tech Innovator Award for Privileged Access Management.
